Color light source evaluation method, apparatus and computer device

Abstract

The present application provides a color light source evaluation method, an apparatus and a computer device. The method comprises: acquiring color coordinates of a target light source; inputting the color coordinates of the target light source into at least one emotion estimation quantification model to obtain corresponding emotion coordinates; and, on the basis of the emotion coordinates and an emotion arousal determination region where the emotion coordinates are located, obtaining an emotion prediction result under the illumination condition of the target light source.

Description

Methods, apparatus and computer equipment for evaluating colored light sources

[0001] Cross-referencing

[0002] This application claims priority to Chinese Patent Application No. 202411865390.9, filed on December 17, 2024, entitled "Method, Apparatus and Computer Equipment for Evaluating Colored Light Sources", the entire contents of which are incorporated herein by reference. Technical Field

[0003] This disclosure relates to the field of intelligent lighting technology, and in particular to a method, apparatus and computer equipment for evaluating colored light sources. Background Technology

[0004] The influence of light source color on emotions mainly involves three aspects: hue, saturation, and brightness. Generally, when the eyes and brain perceive a light source as white, blue, or orange, it evokes a strong emotional response. Furthermore, the color saturation of a light source, referring to the purity of the light, also determines the degree to which the eye's receptors perceive the color of the light.

[0005] In daily life, different light colors have a significant impact on emotions. However, there is currently no method to accurately quantify and predict the emotional response to different light sources. Therefore, there is an urgent need for a method to predict the impact of light sources on emotions, in order to predict the emotions evoked by the human eye under different light source colors. Summary of the Invention

[0006] This application provides a method, apparatus, and computer device for evaluating colored light sources.

[0007] On one hand, embodiments of this application provide a method for evaluating a colored light source, including: obtaining the color coordinates of a target light source; inputting the color coordinates of the target light source into at least one emotion estimation quantization model to obtain corresponding emotion coordinates; and obtaining an emotion prediction result under the illumination conditions of the target light source based on the emotion coordinates and the emotion arousal determination region in which they are located.

[0008] In one possible implementation, the method further includes: establishing an emotion coordinate system, wherein the emotion coordinate system is a rectangular coordinate system; defining the first quadrant, the second quadrant, the third quadrant, and the fourth quadrant in the emotion coordinate system as the first emotion arousal determination region, the second emotion arousal determination region, the third emotion arousal determination region, and the fourth emotion arousal determination region, respectively; and correspondingly matching the first emotion estimation quantization model, the second emotion estimation quantization model, the third emotion estimation quantization model, and the fourth emotion estimation quantization model.

[0009] In one possible implementation, the first emotion arousal determination region, the second emotion arousal determination region, the third emotion arousal determination region, and the fourth emotion arousal determination region are respectively a high arousal high pleasure region, a low arousal high pleasure region, a low arousal low pleasure region, and a high arousal low pleasure region.

[0010] In one possible implementation, the step of inputting the color coordinates of the target light source into at least one emotion estimation quantization model to obtain the corresponding emotion coordinates includes: inputting the color coordinates of the target light source into the first emotion estimation quantization model to obtain the first emotion coordinates, wherein the first emotion estimation quantization model is:

[0011] Where, a00 = -10.31, a10 = 91.86, a01 = 38.79, a20 = -13.41, a11 = -874.9, a02 = 274.2, a30 = -919.1, a21 = 3509, a12 = -1362, a03 = 42.13, a40 = 608.8, a31 = -655.3, a22 = -3469, a13 = 3450, a04 = -905.3;

[0012] b00=-10.52, b10=99.18, b01=27.67, b20=-49.49, b11=-784.4, b02=254.2, b30=-629. 3. b21=2373, b12=-145.4, b03=-408.6, b31=1756, b22=-6243, b13=4429, b04=-857.5.

[0013] In one possible implementation, the step of inputting the color coordinates of the target light source into at least one emotion estimation quantization model to obtain the corresponding emotion coordinates includes: inputting the color coordinates of the target light source into a second emotion estimation quantization model to obtain second emotion coordinates, wherein the second emotion estimation quantization model is:

[0014] Wherein, c00 = -3.993, c10 = 35.27, c01 = -6.637, c20 = -107.6, c11 = 44.65, c02 = 0.7212, c30 = 43.8, c21 = 102.1, c12 = -129.5, c03 = 22.22;

[0015] d00=2.639, d10=-19.71, d01=-0.1821, d20=49.57, d11=3.141, d02=-6.532, d21=-115.6, d12=100.3, d03=-16.53.

[0016] In one possible implementation, the step of inputting the color coordinates of the target light source into at least one emotion estimation quantization model to obtain the corresponding emotion coordinates includes: inputting the color coordinates of the target light source into the third emotion estimation quantization model to obtain the third emotion coordinates, wherein the third emotion estimation quantization model is:

[0017] Wherein, e00 = -10.69, e10 = 100.6, e01 = 20.68, e20 = -141.8, e11 = -594.1, e02 = 208.1, e30 = -211.8, e21 = 1483, e12 = 247.3, e03 = -481.1, e40 = 73.52, e31 = 268.2, e22 = -2513, e13 = 1396;

[0018] f00=-23.85, f10=274.7, f01=-7.992, f20=-789.9, f11=-657.6, f02=296.5, f30=588.1, f21 =2312, f12=-184, f03=-479.8, f40=-183.2, f31=-705.9, f22=-2132, f13=1319, f04=59.73.

[0019] In one possible implementation, inputting the color coordinates of the target light source into at least one emotion estimation quantization model to obtain corresponding emotion coordinates includes: inputting the color coordinates of the target light source into the fourth emotion estimation quantization model to obtain fourth emotion coordinates, wherein the fourth emotion estimation quantization model is:

[0020] Wherein, g00 = -17.42, g10 = 131.8, g01 = 101.4, g20 = 209.8, g11 = -1871, g02 = 538.1, g30 = -1428, g21 = 3645, g12 = 1976, g03 = -1806, g40 = 353.7, g31 = 2531, g22 = -9684;

[0021] h00=1.584, h10=-5.754, h01=-14.63, h20=25.1, h11=25.1, h02=6.15, h30=-34.18, h21=40.68, h12=-87.21, h03=55.59.

[0022] In one possible implementation, the step of obtaining the emotion prediction result under the target light source illumination condition based on the emotion coordinates and the emotion arousal determination region they are located in includes: drawing a ray in any direction from the center point O of the emotion coordinate system as a baseline; and determining the target angle θ between the line connecting the center point O and the emotion coordinates and the baseline. i To determine the emotional arousal determination area into which the target light source falls.

[0023] in,

[0024] In one possible implementation, obtaining the emotion prediction result under the target light source illumination condition based on the emotion coordinates and the emotion arousal determination region they are located in includes:

[0025] The type of emotional arousal is determined based on the emotional arousal judgment region; and the corresponding degree of emotional arousal r is calculated based on the emotional coordinates. j ,in, The type of emotional arousal and the corresponding degree of emotional arousal r under the illumination conditions of the target light source j The emotion prediction results were obtained under the illumination conditions of the target light source.

[0026] In one possible implementation, the method further includes: obtaining the color saturation of the target light source; if the color saturation of the target light source is within a preset saturation range, then performing an emotion prediction and evaluation process under the illumination conditions of the target light source.

[0027] On one hand, embodiments of this application provide a color light source evaluation device, including: a color coordinate acquisition module for acquiring the color coordinates of a target light source; an emotion coordinate determination module for obtaining the corresponding emotion coordinates in at least one emotion estimation quantification model; and a prediction result acquisition module for obtaining an emotion prediction result under the illumination conditions of the target light source based on the emotion coordinates and the emotion arousal determination region in which they are located.

[0028] On one hand, embodiments of this application provide a computer device, including: a memory, a processor, and a computer program stored in the memory, wherein the computer program, when executed by the processor, implements the color light source evaluation method as described above. Attached Figure Description

[0029] To more clearly illustrate the technical solutions and advantages in the embodiments or conventional technologies of this specification, the accompanying drawings used in the description of the embodiments or conventional technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 is a flowchart illustrating a color light source evaluation method provided in an embodiment of this specification;

[0031] Figure 2 is a schematic diagram of the determination method of a color light source evaluation method provided in the embodiments of this specification;

[0032] Figure 3 is an emotion distribution map based on the emotion coordinate system provided in the embodiments of this specification;

[0033] Figure 4 is a distribution diagram of subjective emotion scores and model prediction values ​​calculated by the color light source evaluation method provided in the embodiments of this specification.

[0034] Figure 5 is a schematic diagram of the structure of a color light source evaluation device provided in the embodiments of this specification. Detailed Implementation

[0035] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0036] In daily life, the lighting environment has a significant impact on users' emotional state. Multiple studies have shown that the amount of light received has a certain regulatory effect on physiological states such as mood improvement and arousal. However, there is currently no assessment method that can accurately predict the emotional impact of the lighting environment.

[0037] Therefore, in order to solve the above-mentioned technical problems, this application proposes a color light source evaluation method, which classifies emotions into corresponding emotion arousal judgment regions, establishes corresponding emotion estimation quantification models, and quantitatively evaluates the emotion aroused by the light source by identifying the color coordinate information of the light source, thereby regulating and optimizing the light source lighting conditions or lighting scheme according to the set requirements of the emotional impact on the user.

[0038] As shown in Figures 1 and 2, this application provides a method for evaluating a colored light source, including:

[0039] S100: Obtain the color coordinates of the target light source.

[0040] Specifically, the coordinates (x, y) of the target light source in the CIE 1931 chromaticity diagram are measured.

[0041] In one implementation, step S100 involves obtaining the color coordinates of the target light source, prior to which the steps include: obtaining the color saturation of the target light source; if the color saturation of the target light source is within a preset saturation range, then an emotion prediction and evaluation process is performed under the illumination conditions of the target light source.

[0042] Specifically, the color saturation information of the light source to be used is measured, and it is determined whether the color saturation of the light source to be used is within the range applicable to this invention, that is, whether S1≤S≤S2 is true. If it is not true, this invention is not applicable; if it is true, the next step is performed.

[0043] In this embodiment, S1 = 0.12, S2 = 0.86.

[0044] S200: Input the color coordinates of the target light source into at least one emotion estimation quantization model to obtain the corresponding emotion coordinates.

[0045] In one implementation, step S200 inputs the color coordinates of the target light source into at least one emotion estimation quantization model to obtain the corresponding emotion coordinates. Before this step, the steps include: establishing an emotion coordinate system, wherein the emotion coordinate system is a rectangular coordinate system; defining the first quadrant, the second quadrant, the third quadrant, and the fourth quadrant in the emotion coordinate system as the first emotion arousal determination region, the second emotion arousal determination region, the third emotion arousal determination region, and the fourth emotion arousal determination region, respectively; and correspondingly matching the first emotion estimation quantization model, the second emotion estimation quantization model, the third emotion estimation quantization model, and the fourth emotion estimation quantization model.

[0046] In one embodiment, the first emotion arousal determination region, the second emotion arousal determination region, the third emotion arousal determination region, and the fourth emotion arousal determination region are respectively a high arousal high pleasure region, a low arousal high pleasure region, a low arousal low pleasure region, and a high arousal low pleasure region.

[0047] Emotion estimation models M1 (representing high arousal and high pleasure), M2 (representing low arousal and high pleasure), M3 (representing low arousal and low pleasure), and M4 (representing high arousal and low pleasure) corresponding to different types of emotions are constructed to obtain the emotion coordinates corresponding to the target light source.

[0048] The emotional coordinate system is constructed with arousal level as the horizontal axis and pleasure level as the vertical axis. M1, M2, M3, and M4 are used to quantify the emotional coordinates (x, y) in the first, second, third, and fourth quadrants corresponding to the target light source, respectively.i ,y i ), emotional coordinates (x) i ,y i The color coordinates (x, y) of the target light source are determined based on the corresponding emotion estimation model.

[0049] In one implementation, the color coordinates of the target light source are input into four emotion estimation quantization models to obtain the corresponding emotion coordinates (x, y). i ,y i ), that is, M1, M2, M3, and M4 respectively correspond to

[0050] Specifically, the color coordinates of the target light source are input into the first emotion estimation quantization model to obtain the first emotion coordinates. The first emotion estimation quantization model is as follows:

[0051] Where, a00 = -10.31, a10 = 91.86, a01 = 38.79, a20 = -13.41, a11 = -874.9, a02 = 274.2, a30 = -919.1, a21 = 3509, a12 = -1362, a03 = 42.13, a40 = 608.8, a31 = -655.3, a22 = -3469, a13 = 3450, a04 = -905.3;

[0052] b00=-10.52, b10=99.18, b01=27.67, b20=-49.49, b11=-784.4, b02=254.2, b30=-629. 3. b21=2373, b12=-145.4, b03=-408.6, b31=1756, b22=-6243, b13=4429, b04=-857.5.

[0053] The color coordinates of the target light source are input into the second emotion estimation quantization model to obtain the second emotion coordinates. The second emotion estimation quantization model is as follows:

[0054] Wherein, c00 = -3.993, c10 = 35.27, c01 = -6.637, c20 = -107.6, c11 = 44.65, c02 = 0.7212, c30 = 43.8, c21 = 102.1, c12 = -129.5, c03 = 22.22;

[0055] d00=2.639, d10=-19.71, d01=-0.1821, d20=49.57, d11=3.141, d02=-6.532, d21=-115.6, d12=100.3, d03=-16.53.

[0056] The color coordinates of the target light source are input into the third emotion estimation quantization model to obtain the third emotion coordinates. The third emotion estimation quantization model is as follows:

[0057] Wherein, e00 = -10.69, e10 = 100.6, e01 = 20.68, e20 = -141.8, e11 = -594.1, e02 = 208.1, e30 = -211.8, e21 = 1483, e12 = 247.3, e03 = -481.1, e40 = 73.52, e31 = 268.2, e22 = -2513, e13 = 1396;

[0058] f00=-23.85, f10=274.7, f01=-7.992, f20=-789.9, f11=-657.6, f02=296.5, f30=588.1, f21 =2312, f12=-184, f03=-479.8, f40=-183.2, f31=-705.9, f22=-2132, f13=1319, f04=59.73.

[0059] The color coordinates of the target light source are input into the fourth emotion estimation quantization model to obtain the fourth emotion coordinates. The fourth emotion estimation quantization model is as follows:

[0060] Wherein, g00 = -17.42, g10 = 131.8, g01 = 101.4, g20 = 209.8, g11 = -1871, g02 = 538.1, g30 = -1428, g21 = 3645, g12 = 1976, g03 = -1806, g40 = 353.7, g31 = 2531, g22 = -9684;

[0061] h00=1.584, h10=-5.754, h01=-14.63, h20=25.1, h11=25.1, h02=6.15, h30=-34.18, h21=40.68, h12=-87.21, h03=55.59.

[0062] in, These are the predicted values ​​of arousal and pleasure in the M1, M2, M3, and M4 models, respectively, which are the horizontal and vertical coordinate values ​​in the first, second, third, and fourth quadrants of the emotion coordinate system.

[0063] S300: Based on the emotion coordinates and the emotion arousal determination area they are located in, obtain the emotion prediction result under the illumination conditions of the target light source.

[0064] In one implementation, step S300 obtains the emotion prediction result under the target light source illumination condition based on the emotion coordinates and the emotion arousal determination area they are located in. This step includes: drawing a ray in any direction from the center point O of the emotion coordinate system as a baseline; and determining the target angle θ between the line connecting the center point O and the emotion coordinates and the baseline. i To determine the emotional arousal determination region into which the target light source falls, wherein,

[0065] In this embodiment, the positive x-axis of the Cartesian coordinate system corresponding to the emotion coordinate system is set as the baseline. When the target angle θ is between 0 and 90 degrees, the current emotion coordinate (x) is determined. i ,y i If the target falls in the first quadrant of the emotion coordinate system, that is, within the first emotion arousal judgment area; when the target angle θ is between 90 and 180 degrees, the current emotion coordinate (x) is determined. i ,y i If the target falls in the second quadrant of the emotion coordinate system, that is, in the second emotion arousal judgment area; when the target angle θ is between 180 and 270 degrees, the current emotion coordinate (x) is determined. i ,y i If the target falls in the third quadrant of the emotion coordinate system, that is, in the third emotion arousal judgment area; when the target angle θ is between 270 and 360 degrees, the current emotion coordinate (x) is determined. i ,y i It falls in the fourth quadrant of the emotional coordinate system, that is, in the fourth emotional arousal judgment area.

[0066] Among the four emotion arousal judgment areas, the first emotion arousal judgment area and the third emotion arousal judgment area represent relatively positive emotion arousal results and relatively negative emotion arousal results, respectively.

[0067] Specifically, the above four emotion arousal judgment areas are further divided into 20 common emotion types in 18° units. The correspondence between the 20 common emotion types and their corresponding angles in the emotion coordinate system is shown in Figure 3 and Table 1.

[0068] Table 1. Correspondence between Emotion Type and Perspective Range

[0069] Calculated Calculate the angle θ between the coordinate value in the arousal-pleasure emotion coordinate system and the positive direction of the horizontal axis, and read the table above to obtain the corresponding emotional meaning.

[0070] In one implementation, step S300, based on the emotion coordinates and the emotion arousal determination region they occupy, obtains the emotion prediction result under the target light source illumination conditions, including: determining the corresponding emotion arousal type based on the emotion arousal determination region; and calculating the corresponding emotion arousal degree r based on the emotion coordinates. j ,in, The type of emotional arousal and the corresponding degree of emotional arousal r under the illumination conditions of the target light source j The emotion prediction results were obtained under the illumination conditions of the target light source.

[0071] Specifically, the calculated In the arousal-pleasure emotion coordinate system, calculate the distance r from the coordinate point to the origin O. j To obtain the degree of emotional arousal.

[0072] By combining the four emotion coordinates obtained from the four emotion estimation models, we can obtain the specific emotion types corresponding to the four emotion coordinates in the four quadrants, as well as the degree of their correspondence. This allows us to predict which emotions will be generated under the current colored lighting conditions, and the degree of influence on users to generate different types of emotions. This represents the correlation between the lighting conditions and different emotions.

[0073] To further verify the technical advantages of the method described in this invention in predicting emotions under colored light sources, a psychophysical experiment was conducted. The values ​​of the observer's emotions towards the target light source obtained from the psychophysical experiment were compared with the predicted emotion estimates M1, M2, M3, and M4. Specifically, five different colored light sources within the aforementioned saturation range were used as experimental light sources, with chromaticity coordinates of red (0.4253, 0.3195), yellow (0.4213, 0.4262), green (0.3777, 0.4544), blue (0.2206, 0.1569), and violet (0.32, 0.1967). The aforementioned 20 emotion words were used as experimental emotion words to conduct a psychophysical emotion assessment experiment. The specific experimental method is as follows:

[0074] 1) The experiment was conducted in a laboratory equipped with adjustable lighting parameters. All light sources in the laboratory environment were switched off except for the experimental light source. The experimental light source was an SDL flexible film lamp provided by Opple Lighting, used to generate the specified experimental light. Observers sat at a table under the light, observing the surrounding environment and experiencing the emotional impact of the light.

[0075] 2) A total of 43 observers participated in the experiment. Before the experiment officially began, the observers were required to take the Ishihara color blindness test to ensure that they did not have any visual impairment in color perception. After passing the test, they filled out a questionnaire outside the laboratory containing information such as gender and age. When the observers entered the laboratory, they changed into a gray lab coat to prevent glare and interference from the color of the clothing, and were asked to turn off their mobile phones and other light-emitting devices.

[0076] 3) Before the formal experiment begins, a priming experiment will be conducted to adjust the participants' mood and calibrate them to the same baseline. During the priming experiment, color swatches and color word cards are presented to the observers. The swatches and color word cards are then randomly arranged, and the observers will quickly match the color swatches with the corresponding color names.

[0077] 4) During the experiment, the experimenters will change the displayed light sources in a specified order. Observers need to record their evaluation of the current emotion under each light source in the experimental record sheet according to the evaluation rules specified in the experiment. The evaluation rules are as follows: An emotion word matching questionnaire will be used for the experiment. Twenty emotion words will be arranged sequentially on a piece of paper. Observers will select one or more corresponding emotion words based on the emotion generated under the light source and fill them in on the questionnaire.

[0078] 5) Before each experiment, the experimenter will verbally explain the experimental procedure. During the experiment, the observer observes the surrounding environment under the corresponding light source and selects the emotion word that best suits their current mood. They then close their eyes until the experimenter changes to the next set of light sources. The observer opens their eyes, observes for a period of time again, and then fills in the emotion word. This process is repeated until the last experimental scenario. It should be noted that there are 5 experimental scenarios in the light source emotion experiment: red, blue, purple, yellow, green, and purple light sources.

[0079] 6) After the experiment, the emotions of all observers under the light were counted, and the observers' scores were converted into coordinate values ​​based on the constructed emotion coordinate system in order to calculate the numerical relationship between subjective evaluation and the light source emotion estimate constructed in this invention. The experimental results are shown in Table 2.

[0080] The scoring rules are any positive integer from 1 to 5 points.

[0081] Taking red light as an example, under red light illumination, the observer selects one currently generated emotion from each of the four quadrants, namely the four emotion arousal judgment areas (each emotion arousal judgment area corresponds to five emotion categories), and obtains four emotions. The observer then scores the degree to which the four emotions are aroused, obtaining four scores. That is, an observer obtains a score 'a' for each of the four emotions.

[0082] The scores generated by 43 observers in 20 emotion categories were statistically analyzed. The total score b was obtained by summing the observer scores corresponding to different emotions in each of the 20 emotion categories. The corresponding horizontal and vertical coordinate values ​​were obtained by multiplying a / b by the trigonometric function of the maximum angle in the range of judgment angles. Thus, the horizontal and vertical coordinates of the 20 emotion categories were obtained.

[0083] Using four quadrants as units, sum the horizontal and vertical coordinates of the above 20 emotion categories to obtain the horizontal and vertical coordinate values ​​of each quadrant in the four quadrants, and fill them in Table 2.

[0084] For example, under red light illumination, among 43 observers, 6 observers selected one of the four emotions, each choosing "romantic." Their judgment angles ranged from 18° to 36°, and they scored the emotions 5, 4, 3, 4, 3, and 5 respectively, for a total score of 24. Simultaneously, the total score of all 43 observers was 361. The horizontal and vertical coordinates corresponding to "romantic" were 24 / 361*cos36° and 24 / 361*sin36°, respectively.

[0085] After calculating the five emotions in the first quadrant—happiness, romance, bliss, fondness, and excitement—in the manner described above, their horizontal and vertical coordinates are plotted to obtain the horizontal and vertical coordinates in the first quadrant, and then filled into Table 2.

[0086] Table 2. Results of the Observer's Subjective Evaluation of Emotion

[0087] 6) Based on the color light source illumination mood prediction model constructed according to the present invention, the mood prediction value of each mood quadrant is calculated by the chromaticity coordinate values ​​of five light sources. The prediction results are shown in Table 3.

[0088] Table 3. Prediction Results of the Sentiment Model

[0089] The above psychophysical experiments yielded emotion ratings corresponding to five different colored light sources, which were then compared with the model's predicted values, as shown in Figure 4. The results show a strong correlation between subjective evaluation values ​​and model predictions, with correlation coefficients all greater than 0.85. This demonstrates the significant technical advantages of the method described in this invention for predicting emotions under colored light source illumination.

[0090] Table 4. Correlation Coefficient Values

[0091] Referring to Figure 5, which is a structural schematic diagram of a color light source evaluation device provided in an embodiment of this application, the color light source evaluation device 500 may specifically include:

[0092] Color coordinate acquisition module 501: Used to acquire the color coordinates of the target light source;

[0093] Emotion coordinate determination module 502: used to obtain the corresponding emotion coordinates in at least one emotion estimation quantification model;

[0094] Prediction Result Module 503: Used to obtain the emotion prediction result under the illumination conditions of the target light source based on the emotion coordinates and the emotion arousal determination area they are located in.

[0095] This application provides a computer device, including: a storage device and a processor; a memory storing one or more computer programs; and a processor for loading the one or more computer programs to implement the color light source evaluation method of this application.

[0096] Furthermore, it should be noted that this application embodiment also provides a computer storage medium, which stores a computer program, and the computer program includes program instructions. When the processor executes the above program instructions, it can execute the methods in the corresponding embodiments described above. Therefore, it will not be described again here.

[0097] For technical details not disclosed in the embodiments of the computer storage medium involved in this application, please refer to the description of the method embodiments of this application. As an example, program instructions may be deployed on a computer device, or executed on multiple computer devices located in one location, or executed on multiple computer devices distributed in multiple locations and interconnected through a communication network.

[0098] According to one aspect of this application, embodiments of this application also provide a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, enabling the computer device to perform the methods described in the preceding embodiments; therefore, further details will not be provided here.

[0099] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0100] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in or transmitted through a computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data processing device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0101] The above-disclosed embodiments are merely preferred embodiments of this application and should not be construed as limiting the scope of this application. Therefore, any equivalent variations made in accordance with the claims of this application shall still fall within the scope of this application.

Claims

1. A method for evaluating a colored light source, comprising: Obtain the color coordinates of the target light source; The color coordinates of the target light source are input into at least one emotion estimation quantization model to obtain the corresponding emotion coordinates; Based on the emotion coordinates and the emotion arousal determination area they are located in, the emotion prediction result under the illumination conditions of the target light source is obtained.

2. The method for evaluating a colored light source according to claim 1, wherein, Also includes: Establish an emotional coordinate system, which is a rectangular coordinate system; The first quadrant, second quadrant, third quadrant, and fourth quadrant in the emotion coordinate system are respectively defined as the first emotion arousal determination region, the second emotion arousal determination region, the third emotion arousal determination region, and the fourth emotion arousal determination region. The corresponding matching is the first emotion estimation quantization model, the second emotion estimation quantization model, the third emotion estimation quantization model, and the fourth emotion estimation quantization model.

3. The method for evaluating a colored light source according to claim 2, wherein, The first, second, third, and fourth emotion arousal determination regions are respectively a high arousal and high pleasure region, a low arousal and high pleasure region, a low arousal and low pleasure region, and a high arousal and low pleasure region.

4. The method for evaluating a colored light source according to claim 2 or 3, wherein, The step of inputting the color coordinates of the target light source into at least one emotion estimation quantization model to obtain the corresponding emotion coordinates includes: The color coordinates of the target light source are input into the first emotion estimation quantization model to obtain the first emotion coordinates. The first emotion estimation quantization model is as follows: Where, a00 = -10.31, a10 = 91.86, a01 = 38.79, a20 = -13.41, a11 = -874.9, a02 = 274.2, a30 = -919.1, a21 = 3509, a12 = -1362, a03 = 42.13, a40 = 608.8, a31 = -655.3, a22 = -3469, a13 = 3450, a04 = -905.3; b00=-10.52, b10=99.18, b01=27.67, b20=-49.49, b11=-784.4, b02=254.2, b30=-629.

3. b21=2373, b12=-145.4, b03=-408.6, b31=1756, b22=-6243, b13=4429, b04=-857.

5.

5. The method for evaluating a colored light source according to claim 2 or 3, wherein, The step of inputting the color coordinates of the target light source into at least one emotion estimation quantization model to obtain the corresponding emotion coordinates includes: The color coordinates of the target light source are input into the second emotion estimation quantization model to obtain the second emotion coordinates. The second emotion estimation quantization model is as follows: Wherein, c00 = -3.993, c10 = 35.27, c01 = -6.637, c20 = -107.6, c11 = 44.65, c02 = 0.7212, c30 = 43.8, c21 = 102.1, c12 = -129.5, c03 = 22.22; d00=2.639, d10=-19.71, d01=-0.1821, d20=49.57, d11=3.141, d02=-6.532, d21=-115.6, d12=100.3, d03=-16.

53.

6. The method for evaluating a colored light source according to claim 2 or 3, wherein, The step of inputting the color coordinates of the target light source into at least one emotion estimation quantization model to obtain the corresponding emotion coordinates includes: The color coordinates of the target light source are input into the third emotion estimation quantization model to obtain the third emotion coordinates. The third emotion estimation quantization model is as follows: Wherein, e00 = -10.69, e10 = 100.6, e01 = 20.68, e20 = -141.8, e11 = -594.1, e02 = 208.1, e30 = -211.8, e21 = 1483, e12 = 247.3, e03 = -481.1, e40 = 73.52, e31 = 268.2, e22 = -2513, e13 = 1396; f00=-23.85, f10=274.7, f01=-7.992, f20=-789.9, f11=-657.6, f02=296.5, f30=588.1, f21=2312, f12=-184, f03=-479.8, f40=-183.2, f31=-705.9, f22=-2132, f13=1319, f04=59.

73.

7. The method for evaluating a colored light source according to claim 2 or 3, wherein, The step of inputting the color coordinates of the target light source into at least one emotion estimation quantization model to obtain the corresponding emotion coordinates includes: The color coordinates of the target light source are input into the fourth emotion estimation quantization model to obtain the fourth emotion coordinates. The fourth emotion estimation quantization model is as follows: Wherein, g00 = -17.42, g10 = 131.8, g01 = 101.4, g20 = 209.8, g11 = -1871, g02 = 538.1, g30 = -1428, g21 = 3645, g12 = 1976, g03 = -1806, g40 = 353.7, g31 = 2531, g22 = -9684; h00=1.584, h10=-5.754, h01=-14.63, h20=25.1, h11=25.1, h02=6.15, h30=-34.18, h21=40.68, h12=-87.21, h03=55.

59.

8. The method for evaluating a colored light source according to claim 2 or 3, wherein, The step of obtaining the emotion prediction result under the target light source illumination condition based on the emotion coordinates and their corresponding emotion arousal determination region includes: In the emotional coordinate system, rays are drawn out in any direction from its center point O as the vertex, serving as the baseline. Determine the target angle θ between the line connecting the center point O and the emotion coordinates and the baseline. i To determine the emotional arousal determination area into which the target light source falls. in, 9. The method for evaluating a colored light source according to claim 8, wherein, The step of obtaining the emotion prediction result under the target light source illumination condition based on the emotion coordinates and their corresponding emotion arousal determination region includes: Determine the corresponding emotion arousal type based on the emotion arousal determination area; And calculate the corresponding emotional arousal level r based on the emotional coordinates. j ,in, The type of emotional arousal and the corresponding degree of emotional arousal r under the illumination conditions of the target light source j The emotion prediction results were obtained under the illumination conditions of the target light source.

10. The method for evaluating a colored light source according to claim 1, wherein, Also includes: Obtain the color saturation of the target light source; If the color saturation of the target light source is within a preset saturation range, then an emotion prediction and evaluation process is performed under the illumination conditions of the target light source.

11. A color light source evaluation device, comprising: Color coordinate acquisition module: used to acquire the color coordinates of the target light source; Emotion coordinate determination module: used to obtain the corresponding emotion coordinates in at least one emotion estimation quantification model; The prediction result acquisition module is used to obtain the emotion prediction result under the illumination conditions of the target light source based on the emotion coordinates and the emotion arousal determination area they are located in.

12. A computer device, comprising: A memory, a processor, and a computer program stored on the memory, wherein the computer program, when executed by the processor, implements the color light source evaluation method as described in any one of claims 1 to 10.

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