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122 results about "Visual Disparity" patented technology

Because of the different viewpoints observed by the left and right eye however, many other points in space do not fall on corresponding retinal locations. Visual binocular disparity is defined as the difference between the point of projection in the two eyes and is usually expressed in degrees as the visual angle.

Mobile terminal and method for controlling operation of the mobile terminal

A mobile terminal and a method for controlling the operation of the mobile terminal are provided. In the method, a stereoscopic 3D image that utilizes binocular disparity between a left-eye image and a right-eye image is displayed on a display and a stereoscopic 3D pointer is displayed in the stereoscopic 3D image when a user's hand is detected according to analysis of visual data acquired by a camera. The position of the stereoscopic 3D pointer is moved according to movement of the hand when the movement of the hand is detected according to analysis of the visual data. According to this method, the operation of the mobile terminal can be controlled by the user's hand movement or gesture.
Owner:LG ELECTRONICS INC

Barrier and travelable area detection method based on vehicle-mounted binocular camera

ActiveCN106228110AImprove real-time performanceAvoid Binocular Disparity Map ComputationScene recognitionParallaxRoad surface
The invention discloses a barrier and travelable area detection method based on a vehicle-mounted binocular camera. The barrier and travelable area detection method comprises the following steps of S1, taking an image through a binocular camera; S2, preprocessing the image; S3, calculating the final matching cost of each pixel point in the image; S4, calculating through the final matching cost to obtain a v-disparity map; S5, determining the horizon line and the road scope by means of the v-disparity map; S6, calculating to obtain a barrier-road intersecting line in the road scope; S7, determining the scope of the current lane and the outermost lane; S8, calculating to obtain the height of the barrier on the part above the barrier-road intersecting line; S9, determining the image areas which belong to the same barrier; and S10, outputting the road area information and barrier information. Under the premise that disparity precision is not reduced, unnecessary binocular disparity map calculation is avoided, and therefore the real-time performance of the algorithm is greatly improved, and the barrier and travelable area detection method based on the vehicle-mounted binocular camera is suitable for fields of driving warning, automatic driving and the like.
Owner:ZHEJIANG LEAPMOTOR TECH CO LTD

Title-based rendering method and apparatus

A tile-based rendering method and a tile-based rendering apparatus are provided. The tile-based rendering method involves performing tile binning on a first image and a second image having binocular disparity using a plurality of graphic processors based on a draw command, determining a tile of the second image having a highest similarity to a tile of the first image based on a result of the tile binning, determining a tile rendering order for each tile of the first image and the second image, based on a result of the determining of the tile of the second image having a highest similarity to the tile of the first image, and performing tile rendering, according to the determined tile rendering order.
Owner:SAMSUNG ELECTRONICS CO LTD

Unsupervised monocular depth estimation method based on generative adversarial network

PendingCN110443843AImplement depth estimationImprove accuracyImage enhancementImage analysisColor imageParallax
The invention discloses an unsupervised monocular depth estimation method based on a generative adversarial network, and the method comprises the following steps: 1, obtaining a left and right image pair with strict time synchronization through a binocular camera, building a binocular color image data set, and correcting a binocular color image; 2, establishing an unsupervised generative adversarial network model, inputting the corrected binocular color image into the network, and performing training and iterative regression on the network model; 3, inputting the monocular color image into thetrained network model to generate a disparity map corresponding to the monocular color image; and 4, converting the disparity map into depth information through a binocular disparity depth conversionformula, and synthesizing a depth map. According to the depth estimation method provided by the invention, the monocular color image is converted into the depth map containing the depth information by using the unsupervised network model, and complex real depth data is not needed.
Owner:NORTHEASTERN UNIV

Method and device for detecting road obstacle

The invention discloses a method and device for detecting a road obstacle. The method comprises: acquiring road images through a binocular device and processing the road images to obtain a disparity map of the road images; carrying out pavement-information-based image segmentation to obtain a binary image with an obstacle region as a foreground and other regions as a background; carrying out morphological operation on the binary image to obtain a to-be-detected region template of a suspected obstacle; carrying out information fusion of the to-be-detected region template and a monocular image being one of the road images to obtain a grayscale image of the to-be-detected region; and inputting the grayscale image into a preset obstacle detection model to carry out obstacle determination on the road images and determining the suspected obstacle based on a determination result. According to the invention, on the basis of fusion of respective advantages of binocular disparity information andmonocular image information, machine-learning-based target recognition and target classification are carried out to obtain a quick and accurate obstacle detection result.
Owner:BEIJING SMARTER EYE TECH CO LTD

A binocular disparity estimation method based on three-dimensional convolution

The invention discloses a binocular parallax estimation method based on three-dimensional convolution. Includes the following steps: calibrating the binocular camera by using the binocular fixing method to obtain a binocular correction map; The binocular image to be estimated is corrected to obtain the corrected binocular image; The corrected binocular image is sent into the preset two-dimensionalconvolution neural network to obtain the feature map after feature transformation. The feature map of the current frame and the feature map of the previous multi-frame images are stitched and sent tothe three-dimensional convolution neural network to obtain the feature map of the multi-frame images. The characteristic images of multi-frame images are transposed and convolution, and then transformed back to pixel domain to obtain disparity estimation map. Compared with the prior binocular parallax estimation method based on the convolution neural network, the invention estimates the binocularparallax map of the current frame by extracting the information on the time dimension through the three-dimensional convolution and combining the binocular information of the current frame and the previous multiple frames. Compared with the original method, this method improves the accuracy and the coherence between the two frames.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA

Stereomicroscope

A stereomicroscope includes a microscope main body and a camera for assistant. The microscope main body includes therein an objective optical system, a zoom optical system and an eyepiece optical system. The camera for assistant is detachably mounted to the microscope main body. The microscope main body provides to a main operator a pair of optical images including a certain binocular disparity as viewed from an observation direction of the main operator. The camera for assistant provides to an assistant a pair of electron images including a certain binocular disparity as viewed from an observation direction of the assistant. The observation directions of the main operator and the assistant cross at a certain angle. The camera for assistant outputs the pair of electron images into a stereo viewer which is separated from the microscope main body.
Owner:MITAKA KOHKI

Shell assembly, preparation method of shell assembly and electronic equipment

The invention provides a shell assembly. The assembly comprises a transparent shell and an electrochromic layer, the transparent shell comprises a first area and a second area adjacent to the first area. The first area comprises a window area and a non-window area adjacent to the window area; the electrochromic layer is arranged on the inner surface of the transparent shell, the orthographic projection of the electrochromic layer on the transparent shell completely covers the window area, the electrochromic layer has a colored state and a transparent state, when the electrochromic layer is inthe colored state, the color difference value of the window area and the non-window area is smaller than or equal to 1, and the second area and the non-window area have visual difference. The electrochromic layer is arranged at the position corresponding to the window area, so that the color of the window area is consistent with that of the non-window area when the electrochromic layer is in a colored state, the visual effect of local integration of the shell assembly is achieved, meanwhile, the second area and the non-window area have visual difference, and the appearance expressive force ofthe shell assembly is further improved. The invention further provides a preparation method of the shell assembly and electronic equipment.
Owner:GUANGDONG OPPO MOBILE TELECOMM CORP LTD

Head mounted display device and method for providing visual aid using same

An external scene image captured by an external scene imaging electronic camera attached to a head mounted display (HMD) is projected and displayed onto an image display screen arranged in front of the eyes of the user as a virtual image with a suitable viewing distance corresponding to the visual acuity of the user. At this time, for each object image presented in the virtual image of the external scene image, the virtual image is processed and formatted to add a predetermined degree of binocular disparity and image blur to the virtual image projected and displayed on the right and the left image display screen on the basis of a predetermined converted distance calculated from the real distance of each object. Thus, the user is given a sense of a realistic perspective for the virtual image of the external scene, free of the discomfort or unease.
Owner:MAXELL HLDG LTD
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