58 results about "Skin color" patented technology

An image capturing apparatus for capturing an object and generate an image, displaying the image, performing signal processing for the image, and accepting an input from a user, wherein the image is displayed with a vectorscope superimposed thereon, the vectorscope indicating a distribution of color components included in the image based on a hue and a color density and an index for specifying a range of a skin color region in the image, a display position of the index on the vectorscope is specified based on the hue and the color density values, and a size of the index is specified by the range of the skin color region value, and processing is performed for decreasing a detail level of an image signal of the image having a color component included in the index.

The invention discloses a low-cost robot imitation learning method and system based on a human video. The method comprises the following steps: S1, data acquisition; s2, data extraction and physical alignment are carried out to eliminate man-machine physical differences; the step is divided into two parallel processing modules of action space alignment and visual space alignment; s3, data set construction: mixing the aligned human data with real robot teleoperation data, carrying out balanced sampling, and constructing a mixed data set Dmix; and S4, cooperative training: constructing a strategy network based on diffusion Transform for training. According to the method, data can be acquired only through the monocular RGB camera, expensive robot teleoperation data are replaced with cheap and easily available human videos, and the data acquisition threshold is greatly reduced. Through a visual alignment strategy of random color grid rendering, a network can learn neglect skin color textures and pay attention to geometric structures without a complex generative model, so that the robot can be seamlessly migrated to robots in different forms.

The invention provides a light control method for lamps, a storage medium and a lamp control system applied to a live video scene, and the lamp control system is connected with at least one camera device and at least two lamps. Obtaining current display parameters sent by the camera equipment in the connected state, model information of the lamp and a face preference instruction and a skin color selection instruction input by a user; based on the model information, screening a target lamp meeting a first preset condition from the at least two lamps; performing matching in a plurality of target combination modes corresponding to the face preference instruction to obtain a target combination result corresponding to a target lamp meeting a second preset condition; matching the skin color selection instruction with a preset mapping relation to obtain a target display parameter of a target lamp in a target combination result; matching the target display parameter with the current display parameter to obtain a control instruction; and adjusting the target lamp based on the control instruction.

The invention discloses a quantitative detection method for anti-perspective performance of a textile in a complex light environment, and belongs to the technical field of new material detection, a micro gap is arranged between the textile to be detected and a variable-frequency gray scale target to simulate a non-clinging state when clothes are worn and excite Fresnel diffraction and subsurface scattering effects, and the anti-perspective performance of the textile is detected. Complex illumination conditions such as backlight and sidelight are simulated by adjusting the light intensity ratio, and after a target perspective image is acquired by using an image acquisition unit, the modulation transfer function attenuation rate of a to-be-detected textile to the target is calculated, so that the anti-perspective performance of the textile is quantitatively represented; the interference of glare on the surface of the high-gloss fabric is effectively eliminated by introducing an orthogonal polarization modulation technology, and a detection result is highly consistent with the visual perception of human eyes by adopting a specific light source spectrum simulating the skin color of a human body; compared with a traditional light transmittance method, the method has the advantages that the dimension crossing from luminous flux measurement to image information fidelity evaluation is realized, and the accuracy, reliability and practicability of detection are remarkably improved.

The invention discloses an RGB-D image-based thyroid body surface key point detection method and system, and the method comprises the steps: carrying out the image collection through an RGB-D camera, and carrying out the preprocessing of a collected RGB image and a depth image; constructing a key point detection model based on a convolutional neural network; training a key point detection model by using the marked thyroid image data set, and optimizing the model by adjusting parameters; extracting features from the preprocessed RGB image and depth image by using the optimized key point detection model, carrying out feature learning, and fusing the extracted RGB features and depth features; carrying out thyroid body surface key point detection on the fused feature map; according to the method, based on the RGB-D image, through deep learning and feature fusion technologies, high thyroid body surface key point detection is carried out, and the limitation of the prior art in the aspects of illumination interference, skin color similarity and the like is overcome; and the detection accuracy and stability are improved.

A semantic-driven immersive telepresence system for bandwidth-efficient transmission of three-dimensional human representations. The system extracts compact semantic details from captured image data instead of transmitting complete raw 3D content. Color semantics are derived by estimating scene lighting characteristics using a lightweight model, combined with pre-captured base skin and clothing color. Motion semantics are extracted via keypoint detection of body joints, facial features, and hand positions. A regression-based method using keypoint-anchored vertices (KAVs) maps sparse keypoints to parametric human model parameters in real-time. The system transmits compressed semantic information over networks and reconstructs human representations at receiving devices. A multi-stage neural rendering pipeline with patch-based processing generates photo-realistic visual output. The approach significantly reduces bandwidth requirements compared to traditional bit-by-bit transmission of point clouds or meshes while maintaining low latency, real-time performance, and high visual quality suitable for interactive telepresence applications.

The present application belongs to the technical field of plant molecular breeding, and particularly relates to a SNP marker combination for marker-assisted selection of apple fruit surface color degree, a probe set and application thereof. The SNP marker combination is composed of four SNP markers; the four SNP markers include SNP1 to SNP4; the nucleotide sequences of the SNP1 to the SNP4 are shown in SEQ ID NO. 1 to SEQ ID NO. 4 in turn. The present application provides a SNP marker combination for marker-assisted selection of apple fruit surface color degree, which can be applied to marker-assisted selection of apple fruit surface color degree traits at the seedling stage of apple hybrid offspring.

The utility model relates to the technical field related to medical equipment, in particular to a hand restraint device capable of allowing the palm of a patient to move within a small range. Comprising a mounting ring, a protective cover is mounted on one side of the mounting ring, an observation plate is mounted at the upper end of the inner side of the protective cover, a zipper is mounted on the inner side of the observation plate, a protective layer is mounted on the inner side of the protective cover, the protective cover wraps a palm, and the hand is bound under the condition that each finger is not fixed; a large space is arranged in the protective sleeve, so that the palm of the patient can be adjusted in a small range, more space is provided, the hand tightening feeling can be reduced, the discomfort of the patient is reduced, the patient feels more comfortable in a restrained state, anxiety can be relieved, the condition of the palm of the patient can be observed through the observation plate, and the patient can be protected from being damaged. The state of the palm can be directly observed through the observation plate, the state comprises skin color, swelling, wounds or other pathological changes, and medical staff can quickly make adjustment or treatment decisions according to observation results.

Systems and methods related to generating video sequences containing physiologically realistic avatars are provided. In an example, an albedo for an avatar is received, a subsurface skin color associated with the albedo is modified based on physiological data associated with a physiological characteristic, and the avatar is rendered based on the albedo and the modified subsurface skin color. The rendered avatar can then be composited in frames of a video. In some examples, the video containing the composited avatar can be used to train a machine learning model to detect the physiological characteristic. The machine learning model can receive a plurality of video segments, where one or more of the video segments contain a composited physiologically realistic avatar generated with the physiological characteristic. The machine learning model can be trained using the plurality of video segments. The trained model can be provided to a requesting entity.

The invention relates to the technical field of health monitoring, in particular to venous thromboembolism monitoring equipment which comprises an evaluation module used for providing an evaluation scale, collecting filling information of a patient and generating a risk level evaluation result; the behavior guidance module is used for generating corresponding guidance suggestions based on the risk level assessment result, so that the patient can be protected according to the guidance suggestions; the monitoring module is used for collecting monitoring data in the protection process of the patient according to the guidance suggestions, and the monitoring data comprise leg circumference data, pain feeling data, skin color data, body temperature data, limb swelling data and pulmonary embolism expression data; and the early warning module is used for generating early warning information based on the monitoring data, and sending the early warning information to related medical personnel, so that manual monitoring is replaced by the monitoring equipment, the self-protection consciousness of the patient can be autonomously stimulated, the monitoring effect is improved, and the morbidity of venous thromboembolism is reduced.

The invention relates to an oximeter adjusting method and device.The method comprises the steps that light intensity data corresponding to a target finger are obtained, a light intensity data set is formed, and the light intensity data are light intensity data which are detected by a light receiving component of an oximeter and penetrate through the target finger; calculating parameter information corresponding to the light intensity data set according to the state information corresponding to the light intensity data set; and adjusting the signal amplification factor of a light receiving component of the oximeter according to the parameter information. According to the oximeter adjusting method and device provided by the invention, the parameter information obtained according to the light intensity data is compared with the preset range, and when the parameter information does not fall into the preset range, the signal amplification factor of the light receiving component of the oximeter is at least adjusted; the influence of human body factors such as skin color and finger thickness and environmental factors on the accuracy of the measurement result of the oximeter is eliminated, and higher measurement accuracy and faster stable value obtaining of the oximeter are achieved.

A new and distinct variety of interspecific tree. The following features of the tree and its fruit are characterized with the tree budded on ‘Nemaguard’ Rootstock (non-patented), grown on Handford sandy loam soil with Storie Index rating 95, in USDA Hardiness Zone 9, near Modesto, California, with standard commercial fruit growing practices, such as pruning, thinning, spraying, irrigation and fertilization. Its novelty consists of the following combination of desirable features:1. Tree having a vigorous, upright growth habit.2. Tree being a regular and productive bearer of medium size fruit.3. Fruit with very good flavor and eating quality.4. Fruit with a high degree of red skin color.5. Clingstone fruit with firm, red flesh.

The invention discloses a student online learning video analysis type low-consumption identity recognition method and system, and relates to the technical field of data analysis. The method comprises the following steps: constructing a to-be-detected video data set; analyzing the to-be-detected video data set by using a video frame optimization model based on a time sequence behavior mode, and selecting an optimal video frame; determining a face region by using a self-adaptive face detection model based on regional spectrum migration and skin color constancy in combination with the optimized video frame; and performing recognition analysis on the face region by using the three-dimensional face identity recognition model based on hierarchical sparse coding to generate an identity recognition result. The method can effectively improve the recognition precision and reduce the consumption of computing resources.

An electronic device which comprises: a display; a memory which stores a background image; and at least one processor which identifies a first captured image is acquired, identifies a region of interest including a user's face from the first captured image; acquires skin color information corresponding to the user's face on the basis of the region of interest; acquires a brightness range of the display and a color range of a background image on the basis of the skin color information; controls the display to display a background image based on a target brightness value acquired and the brightness range and a target color value acquired based on the color range; and acquires biometric information based on a second captured image which includes the user face of the first captured image, being acquired after the background image is displayed.

Embodiments of the present application disclose an image processing method and device, the method comprising: detecting a face region in an image; adjusting an exposure value of the detected face region to be within a preset exposure range interval, wherein the exposure value within the preset exposure range interval does not cause color deviation of the face region; performing white balance calibration on the face region after the exposure value adjustment according to face color imaging standard data to obtain a processed image, wherein the face color imaging standard data is used to represent color imaging states of faces with different skin colors under ideal lighting conditions. The technical solution of the embodiments of the present application can automatically perform white balance calibration on an image based on face color, and can restore the color of a face in an image collected under a complex lighting environment, thereby avoiding the problem of face payment failure.

1. The name of the design product: multi-frequency current skin color instrument. 2. The use of the design product: instrument for tattooing. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: reference drawing in use. 5. Other circumstances that need to be explained: component 1 is the operation panel, component 2 is the high-precision knob control, component 3 is the high-precision knob control, and component 4 is the instrument pedal.

The utility model relates to a laser treatment system. The system comprises a treatment handle; the output end of the laser generator is connected with the input end of the treatment handle through an optical fiber; the color recognition module is arranged on the treatment handle, and the color recognition module is used for collecting reflected light generated when the emitted light irradiates the detected skin and recognizing the chromatic value of the detected skin; the controller is electrically connected with the color recognition module and the laser generator; the controller performs grade classification on the chromatic value of the detected skin to determine a target light emitting parameter, and the target light emitting parameter is used for controlling the laser generator to emit light. According to the technical scheme, the suitable target light emitting parameters can be automatically determined according to the specific skin color of the curer, so that the better physical therapy effect is achieved as much as possible, the condition of manually setting parameters is reduced, and the stability of the physical therapy effect is improved.

The application discloses a kind of fusion multi-color space and filtering video beautifying method and system, belong to computer vision and digital image processing technical field, it includes real-time analysis original video stream, separates audio and video data;Adopt mixed detection to carry out face detection and landmark calibration;Based on landmark set, construct the mask of protecting five organs, and realize natural contour remodeling by global-local double-center complex deformation field;Optimize light color to skin color in a variety of orthogonal color spaces;Image is decomposed into base layer and detail layer, and high-fidelity skin is realized by self-adaptive edge-preserving filtering to base layer;Processed image sequence and original audio are synchronously encapsulated as standard video file.The application can efficiently solve the problems such as unnatural beauty effect, high processing delay and audio-visual asynchronization in the prior art through full-link collaborative optimization, and significantly improves the realism, real-time performance and stability of video beauty.

An object of a system according to an embodiment is to appropriately grasp a physical condition of a subordinate even during remote work.SOLUTION: A system includes a face image acquisition unit, a face color analysis unit, a facial expression analysis unit, and a notification unit. The face image acquisition part acquires a face image photographed by a camera during the WEB conference. The face color analysis unit analyzes a face color from the face image acquired by the face image acquisition unit. The expression analysis unit analyzes an expression on the basis of the face color analyzed by the face color analysis unit. In a case where it is determined that the physical condition is deteriorated on the basis of the analysis result of the face color and the facial expression, the notification unit notifies the user or a manager of the result.SELECTED DRAWING: Figure 1

The application belongs to the technical field of molecular biology and crop breeding, and discloses a SNP molecular marker related to the skin color of luffa and application thereof, and specifically discloses the SNP molecular marker related to the skin color of luffa, wherein the SNP molecular marker site is located at the 1266th position from the 5' end of the nucleotide sequence shown in SEQ ID NO:1, and the polymorphism is G / A. The application locates a SNP molecular marker for controlling the skin color of luffa by using a method combining a molecular marker BSA-Seq, and then develops a primer for amplifying the SNP molecular marker. The SNP molecular marker has universality and accuracy, can quickly and accurately determine the skin color trait of luffa from the genotype at the seedling stage, improves the work efficiency, provides effective technical support for luffa molecular breeding, and has important application value.

The application discloses a portrait skin color recognition method suitable for real-time video image processing, which comprises the following steps: calculating the skin color proportion η of each image pixel of a frame of image data; converting the RGB data of the current image pixel data into XYZ data; converting the XYZ data of the current image pixel data into LAB data; converting the LAB data of the current image pixel data into LCh data; determining the first landscape proportion η of the pixel based on the LCH data of the current image pixel data; determining the maximum chroma C of the pixel based on the LCH data of the current image pixel data; determining the second landscape proportion η of the pixel based on the chroma C in the LCH data of the current image pixel data and the maximum chroma C; obtaining the final landscape proportion η of the current pixel based on the first landscape proportion η and the second landscape proportion η; and the skin color proportion η is 1-η. skin h * max * * max c h c scene skin scene ​​​​​​​​​​​

This application provides an image processing method and an electronic device. The electronic device can perform white balance processing on an image containing a user's face based on the user's skin color information under simple light sources. This allows for accurate color reproduction of the image without gray spots in the captured image, improving the user's shooting experience.

1. The name of the design product: radio frequency and ultrasound integrated machine. 2. The use of the design product: it is a physiotherapy equipment suitable for improving skin quality, improving skin color and tightening skin. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of face recognition, in particular to a deep counterfeit face detection method based on fusion boundary features, and the method comprises the steps: specifying a light source requirement according to the skin color contrast in an initial image of a target recognition user; determining whether the specified light source execution requirement is qualified based on the facial brightness difference; determining an action direction of a specified action based on the face brightness difference; acquiring a frame-by-frame image when the target identification user makes a specified action so as to identify a hair and face junction area of each frame of image, and extracting a fusion boundary line; dividing into a plurality of boundary sections based on the fusion boundary line; acquiring corresponding fusion boundary coordination parameters based on the plurality of boundary segments to determine a plurality of high-risk boundary segments; calculating verification consistency characterization parameters based on the boundary time sequence and the light and shadow time sequence of the plurality of high-risk boundary segments; and determining a fake face risk value of the target recognition user based on the verification consistency characterization parameter and the high-risk boundary section proportion. According to the invention, the dynamic face counterfeiting detection precision is improved.

This application discloses a method, apparatus, device, medium, and product for removing reflections from ultra-high-definition images, relating to the field of image processing technology. The method includes converting an input ultra-high-definition image in RGB format into Lab color space, YCbCr color space, and HLS color space; cross-validating an initial skin region determined based on the YCbCr color space and the initial YCbCr correction result with the HLS color space to obtain a target skin region, a YCbCr target correction result, and an HLS correction result; correcting green reflective pollution points determined by the ultra-high-definition image and the Lab color space to obtain a Lab correction result; and merging a first corrected image, a second corrected image, and a third corrected image converted from the Lab correction result, the YCbCr target correction result, and the HLS correction result to obtain a reflection-removed image. This application improves the reflection removal effect of ultra-high-definition images.

This invention provides a method, apparatus, equipment, and storage medium for accurate identification and evaluation of bitter gourd skin color, belonging to the field of fruit skin color identification technology. The method includes: acquiring fruit images; extracting color features from the fruit images using ImageJ software to construct an original sequence dataset; cleaning and organizing the original sequence dataset using the tidyverse package; exploring the data using a multi-dimensional visualization method; optimizing the color center coordinates using a K-means clustering algorithm combined with the CIE 1976 ΔE formula; introducing an LSTM model to model the bitter gourd skin color data; and analyzing the skin color classification results using the LSTM model and outputting the analysis results. By using bitter gourd fruit images collected under field conditions as the research object, a skin color quantification dataset based on the CIE Lab color space is constructed to establish an objective, repeatable, and biologically significant accurate identification and evaluation system for bitter gourd skin color, thereby improving the accuracy of bitter gourd skin color identification and providing technical support for bitter gourd germplasm resource identification and breeding applications.

The present application provides a kind of face fusion pre-processing method and system based on hair repair and light weight beautifying face, it is related to face image pre-processing and computer vision technical field;Core method is first to the original image is repaired to hair cover, obtains repair image and then is light weight beautifying and obtains beautifying image;Risk assessment and intervention closed loop, system calculates three key indicators: skin area non-natural smoothness index;Hair repair boundary structure distortion index;Skin color non-physiological deviation index;These indexes are combined with the risk degree of weight model solution;Based on the measurement, warning threshold and critical threshold, determine dynamic fusion coefficient, finally to repair image and beautifying image are weighted and fused to generate final image;The method introduces boundary structure distortion index, solves the problem of lack of collaborative control between repair and beautification module, can dynamically adjust beautifying intensity, effectively prevent artifact superposition, improve the sense of reality and naturalness of output image.

An object of a system according to an embodiment is to propose appropriate clothes suitable for the physique, skin color, TPO, and weather of a user.SOLUTION: A system includes a user information input unit, an analysis unit, a proposal unit, and an information registration unit. The user information input unit inputs information on the physique, skin color, TPO, and weather of the user. The analysis unit analyzes the user information input by the user information input unit. The proposal unit proposes appropriate clothes on the basis of the information analyzed by the analysis unit. The information registration unit registers information of commodities of various clothing stores.SELECTED DRAWING: Figure 1

This application provides a method, system, and vehicle for controlling the ultraviolet (UV) light transmittance through vehicle windows, relating to the field of vehicle technology. The method for controlling UV light transmittance through vehicle windows includes: acquiring human skin color information and navigation address data; determining UV energy density demand data based on the human skin color information; obtaining commuting sunshine duration data based on the navigation address data; acquiring UV power density data; generating voltage regulation data based on the UV energy density demand data, the commuting sunshine duration data, and the UV power density data; and controlling the voltage of the electrochromic material window based on the voltage regulation data to regulate the UV light transmittance of the electrochromic material window. This method for controlling UV light transmittance through vehicle windows can achieve the technical effect of improving user experience.

The invention discloses a high-quality color development beauty makeup lamp light-emitting device which is used for emitting illumination light in a first spectrum mode, a second spectrum mode, a third spectrum mode, a fourth spectrum mode, a fifth spectrum mode or a sixth spectrum mode. And the illumination light is used for presenting a real skin color and an accurate makeup effect. According to the invention, beauty makeup spectrum optimization is constructed based on a multi-dimensional human factor visual experiment, light color parameters such as color temperature, Duv value, energy distribution of each wavelength and the like are finely regulated and controlled, and a plurality of spectrum schemes are designed for different makeup appearances and use scenes. Therefore, the effect of presenting real skin color and accurate makeup is achieved. The invention is mainly used in the technical field of illumination.