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50 results about "Composite graph" patented technology

Spatio-temporal graph-segmentation encoding for multiple video streams

A multiple video stream capture and encoding apparatus produces compressed data that represents multiple video streams capturing a common scene. Inages from multiple video streams are analyzed to identify image color segments that are encoded into a composite graph data structure. Corresponding image segments across the multiple video streams are also identified and represented by one node in the composite graph data structure. The composite graph data structure also includes links between pairs of nodes that describe the relationship between the image segments associated with those nodes. The composite graph data structure is updated to represent changes to the image segments in the multiple video streams over time. The composite graph data structure is used to create compressed encoded data for storage and / or transmission.
Owner:STMICROELECTRONICS SRL

Facial animation synthesizing method

A facial animation synthesizing method comprises the step of obtaining a facial front image on which the animation synthesis needs to be carried out, the step of carrying out three-dimensional human face model estimation based on the front image of the human face, the step of carrying out the front human face carton effect synthesis based on the facial feature analysis to obtain a front facial carton effect composite graph, the step of carrying out the multi-posture facial carton effect synthesis based on the human face three-dimensional model estimation and the front facial carton effect composite graph, the step of embedding the synthesized multi-posture facial carton effect synthesis in the preset animation video material to obtain the animation video of the human face cartoon effect. According to the facial animation synthesizing method, the traditional artificial animation creation of the facial carton effect is avoided, achieving is easy and fast, and different individuation requirements of different users can be met.
Owner:SUZHOU INST OF NANO TECH & NANO BIONICS CHINESE ACEDEMY OF SCI

Pen interaction method and system based on handwriting input state adaptive judgment processing

Provided is a pen interaction method based on handwriting input state adaptive judgment processing. In the process of carrying out hand-printed graphic inputting and hand-written character inputting by a user, the current input state of the user is automatically judged, real-time processing feedback is carried out, the user does not need to use a mouse or a keyboard or other interaction device to intervene, display state switching is not needed, and the interactive intention is expressed smoothly. The method defines the character input gesture, and the gesture not only differs from other basic graphs, but also has the ambiguous definition with the basic graphs forming the composite graph. The designed character input state judgment processing method and the note position judgment method can automatically judge the note input states and the note positions of the independent character object or the aiming symbol. The method can simplify the user operation procedures, the user can finish the pen interaction naturally and efficiently, certain universality and extendibility are achieved, and the method can be applied to the professional fields such as pen-interactive-based mechanical aided design and command and control.
Owner:NO 709 RES INST OF CHINA SHIPBUILDING IND CORP

Face restoration method based on multi-channel attention selection generative adversarial network

The invention provides a face restoration method based on a multi-channel attention selection generative adversarial network. The method comprises the following steps of S1, collecting face data and performing preprocessing; s2, establishing a face restoration model and a loss function; s3, in the first stage, learning the image to generate a subnet Gi and preliminarily repairing the image; s4, inthe second stage, an intermediate output image IG is generated, and a multi-channel attention image IA is learned; s5, constructing a multi-channel attention selection model and outputting a final composite graph; s6, carrying out face restoration. Wherein the face restoration model comprises a generator network Gi, a parameter sharing discriminator D and a multi-channel attention selection network Ga, and the loss functions comprise an uncertainty pixel loss function and a resistance loss function. According to the face restoration method provided by the invention, the uncertainty graph is effectively learned to guide pixel loss, so that stronger optimization is realized, and a better face restoration method is provided.
Owner:HUNAN UNIV

Figure virtual clothes changing method, terminal equipment and storage medium

PendingCN113436058AExtract full body featuresRealize Human Pose EstimationGeometric image transformationCharacter and pattern recognitionHuman bodyTerminal equipment
The invention relates to a figure virtual clothes changing method, terminal equipment and a storage medium, and the method comprises the steps: firstly carrying out the affine transformation of a human body image, obtaining a new image, feeding an original image and the new image into different pooling mechanisms and feature splicing mechanisms, extracting the whole body features of a human body from multiple aspects, and achieving the semantic segmentation of the human body; secondly, designing a human body posture heat map regression method based on a bounding box and Transform to assist the network in better realizing human body posture estimation, so as to relieve the influence of complex human body postures and character image overlapping on subsequent virtual clothes changing; then generating segmentation masks of clothes in the figure picture and a rough composite graph by using a generative model of the generative adversarial network; then, outputting a clothes picture conforming to the posture and figure information of a person through TPS thin plate spline transformation, and outputting a refined composite image through a full convolutional network, so that the composite image contains more clothes details; and finally, calculating and outputting a virtual clothes changing result by utilizing the matrix.
Owner:深圳市赛维网络科技有限公司 +1

Method and device for splitting violation composite graph, and computer storage medium

ActiveCN111340811ARealize violation penaltyImage enhancementImage analysisAlgorithmEngineering
The invention provides a method and device for splitting a violation composite graph, and a computer storage medium. The method for splitting the violation composite graph comprises the steps: obtaining the violation composite graph; splitting the violation composite graph according to a preset row and column combination to obtain at least two sub-graphs arranged according to the preset row and column combination; determining a close-up graph and a position graph in the violation composite graph under a preset row and column combination, including: taking a sub-graph at a preset position in the preset row and column combination as a close-up sub-graph, and taking a sub-graph at a non-preset position as a position sub-graph; calculating the close-up difference degree of the close-up sub-graph and the position sub-graph, and obtaining the close-up difference degree corresponding to each preset position; and comparing the close-up difference degrees corresponding to all the preset positions, determining the sub-graph at the preset position corresponding to the maximum close-up difference degree as a close-up graph in the violation composite graph, and taking other sub-graphs as position graphs. According to the splitting method of the violation composite graph, autonomous violation penalty is realized.
Owner:ZHEJIANG DAHUA TECH CO LTD

Rendering image super-resolution texture enhancement method and device, equipment and storage medium

The invention provides a rendering image super-resolution texture enhancement method and device, equipment and a storage medium. The method comprises the steps: generating a rendering effect picture of a first resolution of a target scene; generating a non-illumination texture graph of a second resolution, a non-illumination normal graph with concave-convex textures of the second resolution and a rendering effect graph of the second resolution of the target scene, wherein the second resolution is greater than the first resolution; synthesizing the non-illumination texture graph of the second resolution and the non-illumination normal graph with the concave-convex texture of the second resolution into a composite graph according to a preset data combination algorithm; and reconstructing the rendering effect picture of the first resolution of the target scene into a rendering effect picture of a second resolution according to a super-resolution reconstruction algorithm and the composite picture. According to the invention, it is ensured that the low-resolution image is rendered into the high-resolution image, and meanwhile, the rendering time consumption and the calculation amount are reduced.
Owner:GUANGDONG SANWEIJIA INFORMATION TECH CO LTD

A Method for Calculating the Area of ​​Combined Figures in Electronic Layout

The invention discloses a method for calculating a composite graph area of an electronic layout. The method comprises the steps that the electronic layout is exported to be a GBR file in EDA software used for making the electronic layout; the GBR file is imported into CAM350 software; merging processing is performed on a border layer and a printing layer of the imported electronic layout file in the CAM350 software; a gap between the border layer and the printing layer of the file processed in the step c is filled up in the CAM350 software; a background layer and a filling layer of the file processed in the step d are separated in the CAM350 software; the file processed through the CAM350 software is exported to be a dxf file; the dxf file is imported into AUTOCAD software, and regions are created for the imported file in the AUTOCAD software; the regions are merged in the AUTOCAD software; and the AUTOCAD software is utilized to calculate the border area S1 and the area S2 of a region obtained after merging, and the composite graph area S of the electronic layout is obtained by subtracting S2 from S1. Through the method, calculation of the total area of a composite graph obtained after combination is realized; and printing area calculation efficiency is high, and calculation time can be substantially shortened.
Owner:NORTH ELECTRON RES INST ANHUI CO LTD

Phase Extraction Method of Digital Moire Fringe Combining Wavelet Analysis and Low-pass Filtering

The invention discloses a digital moire fringe phase extraction method combining wavelet analysis and low pass filtering and belongs to the optical measurement and image processing technology field. The method is characterized by using actual interference graph and phase-shift virtual interference graph moire synthesis to generate a phase shift moire composite graph, and using low pass filtering and combining a phase shift interferometry to extract a preliminary result of a moire fringe phase; according to a virtual interference wavefront acquired by a virtual interferometer, combining a filtering radius of a filter to determine a distribution center and a range of a low pass filtering error in the preliminary result of the moire fringe phase; after a low pass filtering error range and the center are positioned, carrying out wavelet decomposition on the preliminary result containing the low pass filtering error; and according to the positioned error center and the range, processing a wavelet coefficient so that the filtering error can be removed, according to an approximation coefficient and a processed wavelet coefficient, carrying out reconstruction and acquiring the moire fringe phase where the low pass filtering error is removed, which means that a measurement range of digital moire interference measurement is expanded.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Method for obtaining naked-eye 3D composite graph based on normalized infinite viewpoint

The invention discloses a method for obtaining a naked-eye 3D composite graph based on normalized infinite viewpoint, wherein the method comprises the steps: calculating a maximum parallax matrix anda normalized viewpoint matrix according to an input 2D image and a depth-of-field image; traversing the synthesized image pixel point, comparing the normalized viewpoint value of the synthesized imagepixel point with the reference viewpoint, and determining the virtual viewpoint as the left/right extension of the reference viewpoint; calculating the parallax coefficient of the pixel points of thesynthesized image according to the relationship between the normalized viewpoint matrix and the reference viewpoint; obtaining a maximum absolute value in the matrix according to the maximum parallaxmatrix; and carrying out region traversal on the 2D image according to the parallax coefficient, and carrying out pixel filling by adopting an addressing matching method to realize naked eye 3D composite image acquisition. According to the method, the synthetic graph for naked-eye 3D display is obtained by combining the normalized infinite viewpoint and inverse matching based on local traversal,so that the occupied space of an algorithm on a computer memory is reduced, and the processing speed is increased. The method can be effectively applied to a three-dimensional display in which a cylindrical lens array is not matched with pixels.
Owner:NANJING INST OF TECH

Method and device for judging particle defect source in semiconductor manufacturing process

The invention provides a method and device for judging a particle defect source in a semiconductor manufacturing process, and the method comprises the steps: extracting a JDV pattern of an NMOS region and a JDV pattern of a PMOS region of a photoetching layer of an ion implantation region in a wafer photoetching process, respectively carrying out the comparison with a plurality of layers of JDV patterns with opposite development, and generating two groups of JDV graphs with respective specific positions through the same parameter, and fitting the two groups of JDV graphs together to form a JDV fitting graph; extracting the JDV pattern of the ion implantation layer; fitting the JDV fitting graph and the JDV graph of the ion implantation layer together to form a JDV composite graph, and marking the specific position of the JDV graph of each layer; scanning a wafer through a defect detection machine to obtain particle defect information, comparing the obtained overlay of the particle defect with the JDV composite graph, and determining the source of the particle defect according to the mark of the particle defect in the overlay falling into the specific position of the JDV composite graph. The method has the advantages of rapidness, high efficiency and accuracy.
Owner:SHANGHAI HUALI MICROELECTRONICS CORP
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