44results about How to "Keep it real" patented technology

The invention is applied to the technical field of computers, and provides a video chatting method and a video chatting system. The method comprises the following steps of acquiring the facial video data of a first client user, and identifying the facial vector data of the first client user according to the facial video data; and transmitting the facial vector data to a second client, so that the second client renders the facial vector data of the first client user to generate a virtual image model of the first client user, and displays the virtual image model of the first client user. According to the method and the system, the facial vector data is transmitted through a network in a video chatting process, so that network traffic is greatly reduced, the method and the system can be smoothly used in an ordinary mobile network, the data transmission speed is high, and the network traffic cost is greatly reduced.

The invention discloses a fluid bed reactor sound-wave monitoring device and method, where the device includes receiving device, amplifying device, signal collecting device and signal processing device; the method includes the following steps: a, receiving sound signal transmitted in the fluid bed reactor; b, analyzing the sound signal, to select the parameters like frequency f, amplitude A, energy E, energy partition Pi in each frequency segment, etc; the practice proves that it has characters of sensitivity, safety and environmental protection, facility and shortcut, etc, can in time and accurately make on-line analysis on the information in the fluid bed (fluid situation, reaction situation, particle size distribution, flow pattern distribution, etc) during the producing practice, and can control production parameters by analyzing result.

The present invention relates to a three-dimensional model progression transmission method on basis of keeping character, the present invention holds the improvement for character keeping on the basis of the simplified arithmetic of the original three-dimensional model, and at the same time of simplifying the geometrical model, the present invention keeps the topological property and attribute character of the model, and gets the underlying net with smaller data amount, and on the basis of above, the processing coding is held distributed on basis of octree to construct the procession net document. When in transmission, the octree broadness prior coding underlying net is firstly used, and then adopting the procession net transmission method to transport a serial detail recovering information, and continuousely improving model presicion and recovering the original document, thereby solving the problem that: the responding time for the traditional transmission method is long. In adition, the viewpoint related transmission strategy facing the object is designed for the three-dimensional scene, increasing the actural drawing, and making the visibility judging of the object is carried out by putting on the clinet end, and reducing the loading of the server.

The invention relates to a topology discovery method of space geological data based on an unstructured mode, mainly comprising three-level discovery containing topology core relationship generation, topology dynamic relationship search and topology error relationship correction. The topology discovery method based on the unstructured mode aims at different manners of obtaining the space geological data, space data distribution features and required functions and application of a model, and is designed by analysis of such complex geophysical phenomenon as fault, wrinkle, lenticle, intrusive rock and on the like, so that correlations of the space, the time and a structure among large and complex space geophysical data accumulated for a long period during the mining area geological exploration are determined, and the uniformity and the authenticity of the space, the time and the structure can be maintained; and therefore, the space expression ability and the time-space analysis efficiency of three-dimensional geophysical data can be strengthened, and the advanced science means for analyzing, forecasting and evaluating geological resources can be provided for geologists.

An optical image lens assembly includes, from an object side to an image side, at least one optical lens element. The optical lens element is made of plastic material and includes a long wavelength light absorbing agent. The long wavelength light absorbing agent is uniformly mixed with the plastic material, wherein the optical lens element has refractive power, and at least one of the object-side surface and the image-side surface thereof is aspheric.

The invention discloses a crude oil identification method based on microscopic confocal Raman spectrum. The method comprises the following steps: by changing parameters of a Raman spectrometer, respectively acquiring three different types of fingerprint data of a crude oil sample: fingerprint data with significant Raman characteristics and weak fluorescence characteristics, fingerprint data with significant fluorescence characteristics and weak Raman characteristics, and fingerprint data with significant Raman characteristics and fluorescence characteristics; and carrying out clustering analysis on the fingerprint data so as to obtain crude oil clustering results. According to the invention, uncertain factors and errors caused by deducting a baseline by traditional Raman data processing software in a polynomial fitting mode are avoided; due to the mutual complementation and verification of the clustering results of the three types of fingerprint data, the precision and credibility of crude oil identification results can be significantly improved, an important basis can be provided for the responsibility identification and economic compensation of oil spilling events, and a theoretical basis can be provided for exploring a migration and transformation mechanism of oil spilling in pollution abatement and environmental modification processes.

A projector and a color filtering device thereof. The color filtering device for filtering a light includes a first filter and a second filter. The first filter includes a yellow filter area, a cyan filter area and a green filter area. The second filter includes a magenta filter area. The second filter is movable with respect to the first filter, so that the magenta filter area is selectively overlapped with the yellow filter area and the cyan filter area respectively. The light passing through the overlapping magenta filter area and yellow filter area is red, while the light passing through the overlapping magenta filter area and cyan filter area is blue.

The present invention discloses a method for enhancing a low-illumination image based on a camera response characteristic, including: selecting an exposure model and obtaining a camera response equation model corresponding thereto; determining a parameter of the camera response equation model; estimating an exposure ratio of a multi-exposure image sequence to be generated to an original image so as to generate the multi-exposure image sequence; and performing image fusion on multi-exposure images to obtain an enhanced image with a better visual effect and less distortion. The method can solve the problem that existing low-illumination image enhancement algorithms introduce more artificial traces while enhancing images, and can obtain the enhanced image with the better visual effect and less distortion, thereby obtaining the enhanced image preserving naturalness.

The invention discloses an image processing method with a cartoon effect. According to the image processing method, an image to be processed is subjected to crayon effect processing, an obtained crayon image and the image to be processed are processed in a superposed mixed mode to obtain a superposed crayon image, and finally the superposed crayon image and a texture material are processed in a superposed mixed mode again to obtain a cartoon image. By means of the image processing method, the algorithm is simple, a large number of operation resources are saved, and a high processing speed is realized; meanwhile, the naturalness and sense of reality of an original image can be maintained to a large extent, the hue is moderate, and the processing effect is good.

The invention discloses a virtual fitting method. The method comprises the following steps: making a three-dimensional model of a garment according to a two-dimensional image of the garment; fitting the three-dimensional clothing model to the three-dimensional standard human body model; obtaining a two-dimensional image of a target human body; inputting the obtained three-dimensional human body parameters into a standard human body model for fitting; matching the clothing three-dimensional model to the three-dimensional human body model; and the three-dimensional human body model is basically consistent with the target human body posture. The invention provides a method for obtaining accurate human body three-dimensional model parameters by analyzing a whole human body photo through a deep neural network, and human body modeling can be quickly performed only by one common photo; meanwhile, the three-dimensional garment model is obtained by processing the two-dimensional garment picture in advance, the user does not need to participate in the background work and only needs to select the garment style which the user wants to virtually try on, the system can automatically match the corresponding garment model, and the authenticity and the reduction degree are kept through a series of methods.

The invention discloses a face expression generation method based on a generative adversarial network. The method comprises the following steps: constructing a deep learning network model, wherein the deep learning network model comprises a recurrent neural network, a generator, an image discriminator, a first video discriminator and a second video discriminator; the recurrent neural network generates a time-dependent motion vector for an input image, the generator takes the motion vector and the input image as input and outputs a corresponding video frame, the image discriminator is used for judging the authenticity of each video frame, the first video discriminator judges the authenticity of the video and classifies the video, and the second video discriminator controls the authenticity and smoothness of the generated video change; using sample images containing different expression categories as input to train the deep learning network model; and generating a face video in real time by using the trained generator. Facial features are reserved while expressions are generated, the generated video keeps continuity and authenticity, and generalization ability is achieved for different faces.

The invention relates to a continuous sampling and analyzing device used for loading / unloading LNG (liquefied natural gas) and a using method, which are characterized in that the sampling and analyzing device comprises an LNG sampling probe, a gasification device, a main sampling pipeline, a BOG (boiled off gas) return device, an on-line analyzing device, a flow control device, a sample gas storage device, a sample steel bottle filling system and a control system, wherein the LNG sampling probe is connected with an inlet of the gasification device by an isolation shut-off valve and temperature detection element; an outlet of the gasification device is connected with the BOG return device by the main sampling pipeline and is also connected with the on-line analyzing device and the flow control device by the main sampling pipeline respectively; the flow control device is also connected with an inlet of the sample gas storage device; an outlet of the sample gas storage device is connected with the sample steel bottle filling system; the sample steel bottle filling system is also connected with a BOG main pipe; the isolation shut-off valve, the temperature detection element, the main sampling pipeline, the flow control device, the sample gas storage device and the sample steel bottle filling system are respectively electrically connected with the control system. The continuous sampling and analyzing device can be widely used in a facility used for analyzing an LNG component and calculating an LNG caloric value.

The invention discloses a fluid bed reactor sound-wave monitoring device and method, where the device includes receiving device, amplifying device, signal collecting device and signal processing device; the method includes the following steps: a, receiving sound signal transmitted in the fluid bed reactor; b, analyzing the sound signal, to select the parameters like frequency f, amplitude A, energy E, energy partition Pi in each frequency segment, etc; the practice proves that it has characters of sensitivity, safety and environmental protection, facility and shortcut, etc, can in time and accurately make on-line analysis on the information in the fluid bed (fluid situation, reaction situation, particle size distribution, flow pattern distribution, etc) during the producing practice, and can control production parameters by analyzing result.

The invention discloses a self-adaptive driving method for a clothing model. The method comprises the following steps: making a three-dimensional model of clothing; constructing a three-dimensional standard human body model; fitting the three-dimensional clothing model to the three-dimensional standard human body model in the initial posture; obtaining posture parameters of the three-dimensional target human body model; inputting the plurality of groups of obtained posture parameters into a three-dimensional standard human body model for fitting; the human body model is driven to move from the initial posture to the target posture in an equipment self-adaption mode; and obtaining a target human body model which is the same as the target human body posture and wears clothes. Through the innovative application of the equipment adaptive algorithm, in the matching of the clothes model and the human body model, the authenticity and the reduction degree of the three-dimensional clothes model are kept, a certain processing speed is also ensured, most importantly, no mold penetration is basically ensured, and a very good simulated clothes changing effect is obtained.

The invention relates to a caramel herb tea base and a preparation method thereof. The compounded materials of the caramel herb tea base comprise the following components by using total number 1000 grams of the base as a standard: 720-750 grams of caramel syrup, 164-168 grams a herb tea concentrated solution, 1.6-2.0 grams of a stevia rebaudiana extract and the balance of RO water. The purely natural stevia rebaudiana extract is used for replacing a part of sugar, under the premise that the total sweetness is not changed, compared with other herb tea beverage products sold in the market, the energy contained by products is reduced by 40-50%, and the products have greater attraction to consumer groups having requirements for losing weight. The products are convenient to drink, and after the products and water are diluted according to the proportion of the products to the water being 1: 15, a delicious herb tea beverage is obtained, so that the products are extremely convenient for individual families or shop merchants, and the products have good consumption channels.

A three-dimensional color model image processing method based on texture mapping comprises the steps of firstly determining a boundary point of each texture block on a three-dimensional model according to a mapping relationship between the apex of a three-dimensional model and each two-dimensional image, then updating the color of the boundary point through a boundary updating equation, updating the color of each apex which is adjacent with the boundary point in the texture block according to an inner texture updating equation, and repeating the two updating processes until the sum of color differences between the apexes before and after updating is smaller than a preset value. According to the three-dimensional color model image processing method, the boundary point and the texture in the texture block are respectively solved, thereby weakening relation restraint among points in updating the color of the boundary point and restrictive conditions to color change in updating the color in the texture block, remarkably reducing relatively large difference between the color of the texture block and the color of the boundary, integrally changing the color of the whole texture block according to the color at a seam, and keeping consistency and authenticity of the texture.

The invention is concerned with the post-processing technology of the digital camera shooting image, especially the post-processing method of the image exposal compensation based on the Retinex. The first half-part is the traditional Multiscale-Retinex processing method, make the weighted average of the processing result and the original image after getting the Retinex processing result, the result of the weighted average as the final result and make the weighted average with the original image, the result of the weighted average is as the final result output: Iout=wIoriginal+(1-w)Iretinex;The W is 0.4-0.6. The invention can achieve that need not the complicated parameter adjustment and satisfy the right processing of different image, ensure the natural vision of the output that is more close to the actual scenery by the human eye.

The invention discloses an automobile key life detection method and device. The automobile key life detection method comprises the following steps: driving a pressing piece to leave an initial position at a first speed to move towards the direction close to the key; when the pressing piece is in contact with the key, driving the pressing piece to press the key for a certain distance at a second speed; when the pressing piece completes pressing of the key, the pressing piece is separated from the key at a third speed; the automobile key service life detection method and device cooperate with each other, the process of pressing the key by hand can be simulated, the pressing speed is divided into a speed before contact and a speed after contact, a pressing scene is truly simulated to test theautomobile key; and meanwhile, the pressing distance after contact is fixed, the effectiveness of each pressing can be ensured, the accuracy and the truth of the test height are kept, the power of the automobile key life detection device is provided by one motor, the motor can keep rotating in the same direction, the inertia of forward and reverse rotation can be reduced, and the test accuracy isfurther improved.

The invention relates to the technical field of data management, and particularly discloses a tobacco data standardization method which comprises the following steps: acquiring tobacco data of different tobacco data types from other systems in the tobacco industry; the tobacco data comprises a plurality of tobacco sub-data; according to the obtained tobacco data of different tobacco data types, various types of tobacco data are processed, the format of each tobacco sub-data in the corresponding tobacco data is determined, the tobacco sub-data of the same format are integrated, and cleaning templates corresponding to various types are generated; according to the tobacco data type of the tobacco data, calling a cleaning template corresponding to the tobacco data, cleaning the tobacco sub-data in the tobacco data, and generating corresponding tobacco standard data; and storing the tobacco standard data into a corresponding database. According to the technical scheme, the problems that in the prior art, data management is difficult, and tobacco data cannot be subjected to standardization processing are solved.

The invention discloses a virtual fitting method based on illumination matching. The method comprises the following steps: acquiring a two-dimensional image of a target human body; obtaining a semantic segmentation map of the target human body image; obtaining a two-dimensional image of the garment; matching the illumination intensity and the illumination angle of the prefabricated garment and the target human body image; and selecting the adaptive clothing texture map to make a three-dimensional model of the clothing. According to the method, the trueness and the reduction degree of the three-dimensional garment model are kept through a series of methods, the three-dimensional garment model is obtained by processing the two-dimensional garment picture in advance, a user does not need to participate in the after-curtain work, the system can automatically match the garment model with the corresponding illumination intensity and illumination angle, and the trueness and the reduction degree are kept. The method well adapts to the characteristics and trends of simplicity and rapidness of the internet era, and the user uploads one photo to complete all virtual clothes changing work which the user needs to complete.

The invention discloses a method for calculating a discharge curve of mixture of a two-phase reacting material and a single-phase reacting material. The method comprises the steps that firstly, the two-phase reacting material and the single-phase reacting material are selected to respectively serve as positive electrode materials to prepare effective batteries and voltage-specific capacity data of the two batteries are collected respectively; secondly, the data are processed in a certain mode to obtain a set of new voltage-specific capacity data; finally, an appropriate matching method is selected to match the obtained data so that the mixed discharge curve can be obtained. The calculating method is quite suitable for discharge curve simulation after the two-phase reacting material and the single-phase reacting material are mixed, so that the problem that an existing calculating method is not suitable for calculating the discharge curve after the two-phase reacting material and the single-phase reacting material are mixed.

A progressive transmission method of 3D models based on feature preservation, which improves the feature preservation on the basis of the original 3D model simplification algorithm. While simplifying the geometric model, it maintains the topological properties and attribute characteristics of the model, and obtains a relatively large amount of data. A small base grid; and on this basis, the compression coding based on octree division is implemented to construct a progressive grid file. When transmitting, first use the octree breadth to first traverse the decoding base grid, and then use the progressive grid transmission method to transmit a series of detail restoration information, continuously improve the model accuracy, and restore the original model, thus solving the problem of response time of traditional transmission methods long question. In addition, an object-oriented viewpoint-related transmission strategy is designed for the 3D scene, which accelerates the real-time rendering of the scene, and puts the object visibility judgment on the client side, reducing the server load.

The invention is relates to an eliminating record dash wave method and its device. The method is applied in electron equipment which possesses a microphone which records voice to generate a voice signal, a segment of signal with dash wave is get and compensated by a preset compensation signal to eliminate the dash wave, the signal segment which is after compensation and the leaving segment are combined to form a whole voice signal. The device includes: a signal intercepting unit, a magnifying unit, a compensation unit and a combining unit to combine the signal segment which is after compensation and the leaving segment to form a whole voice signal. So, the facticity and integrality of voice signal can be maintained to improve the recognizing accuracy ratio.

The invention discloses a three-dimensional clothing model manufacturing quality control method. The method comprises the following steps: (1) acquiring a two-dimensional image of target clothing; (2) carrying out preliminary inspection on the two-dimensional image according to a preset rule; (3) adjusting the two-dimensional image which does not meet the requirement according to a preset rule; (4) obtaining a two-dimensional garment image meeting the three-dimensional garment model manufacturing requirement; (5) making a three-dimensional clothing model according to the two-dimensional clothing image; (6) performing wiring optimization and model inspection on the three-dimensional clothing model; and (7) generating a final three-dimensional clothing model file. According to the method, the manufacturing quality of the three-dimensional garment model is kept through a series of methods, the influence of all links on the quality is fully considered in the garment model manufacturing process, the whole-process quality control measures and rules are set in advance, the rules and operation are simple and controllable, the processing speed is kept high, and the production efficiency is improved. And the overall quality of the clothes model is kept.

The invention provides a porosity testing tool and a testing method thereof. The porosity testing tool comprises a liquid nitrogen cold quenching part, a pressurizing part and a porosity testing part. A cavity is formed in the liquid nitrogen cold quenching part and used for storing liquid nitrogen and storing a to-be-tested sample, and the to-be-tested sample comprises an electrode plate and / or a battery diaphragm; the pressurizing part is used for applying pressure to the to-be-tested sample; and the porosity testing part is used for testing pores in the to-be-tested sample which is subjected to liquid nitrogen cold quenching. The cold quenching treatment on the to-be-tested sample (the electrode plate and / or the battery diaphragm) can inhibit the to-be-tested sample from springback due to pressure relief after pressure is applied to the to-be-tested sample. On one hand, the real state of the to-be-tested sample can be kept, and the morphological change of the to-be-tested sample in a pressure state can be truly reflected; on the other hand, the adverse effect of springback of the to-be-tested sample after pressure relief on the porosity testing result can be inhibited, the error of the porosity testing result can be reduced, and the porosity testing accuracy is improved.

The invention discloses a differential pressing type automobile key service life detection system. The process of pressing the key by hand can be simulated; the pressing speed is divided into a speedbefore contact and a speed after contact; a pressing scene is truly simulated to test the automobile key; meanwhile, the pressing distance after contact is fixed, the effectiveness of each pressing can be ensured;, the accuracy and the truth of the test height are maintained; meanwhile, reverse moving and returning can be completed after one-time testing, and secondary testing is carried out; theeffectiveness and the continuity of a key service life detection test are guaranteed, the detection efficiency is high, power of the automobile key service life detection device is provided by one motor, the motor can rotate in the same direction, forward and reverse rotation inertia can be reduced, and the test accuracy is further improved.

The present invention discloses a method for enhancing a low-illumination image based on a camera response characteristic, including: selecting an exposure model and obtaining a camera response equation model corresponding thereto; determining a parameter of the camera response equation model; estimating an exposure ratio of a multi-exposure image sequence to be generated to an original image so as to generate the multi-exposure image sequence; and performing image fusion on multi-exposure images to obtain an enhanced image with a better visual effect and less distortion. The method can solve the problem that existing low-illumination image enhancement algorithms introduce more artificial traces while enhancing images, and can obtain the enhanced image with the better visual effect and less distortion, thereby obtaining the enhanced image preserving naturalness.

The invention discloses a human facial expression generation method based on a generative confrontation network. The method includes: constructing a deep learning network model, which includes a cyclic neural network, a generator, an image discriminator, a first video discriminator, and a second video discriminator, wherein the cyclic neural network generates time-related motion vectors for input images, and generates The device takes the motion vector and the input image as input, and outputs the corresponding video frame. The image discriminator is used to judge the authenticity of each video frame. The first video discriminator judges the authenticity of the video and classifies it, and the second video discriminator controls the generated video The authenticity and smoothness of the change; use sample images containing different expression categories as input to train the deep learning network model; use the trained generator to generate face videos in real time. The present invention retains face features while generating expressions, the generated video maintains continuity and authenticity, and has generalization ability for different faces.

The invention discloses a crude oil identification method based on microscopic confocal Raman spectrum. The method comprises the following steps: by changing parameters of a Raman spectrometer, respectively acquiring three different types of fingerprint data of a crude oil sample: fingerprint data with significant Raman characteristics and weak fluorescence characteristics, fingerprint data with significant fluorescence characteristics and weak Raman characteristics, and fingerprint data with significant Raman characteristics and fluorescence characteristics; and carrying out clustering analysis on the fingerprint data so as to obtain crude oil clustering results. According to the invention, uncertain factors and errors caused by deducting a baseline by traditional Raman data processing software in a polynomial fitting mode are avoided; due to the mutual complementation and verification of the clustering results of the three types of fingerprint data, the precision and credibility of crude oil identification results can be significantly improved, an important basis can be provided for the responsibility identification and economic compensation of oil spilling events, and a theoretical basis can be provided for exploring a migration and transformation mechanism of oil spilling in pollution abatement and environmental modification processes.