RADAR parallax image optimization method and stereo matching parallax image optimization method and system

An optimization method and disparity map technology, which are applied in image enhancement, image analysis, image data processing and other directions to improve the accuracy and reduce the error rate.

Active Publication Date: 2015-06-03
深圳市沉浸视觉科技有限公司
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  • Application Information

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Problems solved by technology

However, there are still many problems in stereo matching, especially ...

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  • RADAR parallax image optimization method and stereo matching parallax image optimization method and system
  • RADAR parallax image optimization method and stereo matching parallax image optimization method and system
  • RADAR parallax image optimization method and stereo matching parallax image optimization method and system

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Embodiment 1

[0041] In the stereo matching disparity map optimization method in this example, the first initial image and the second initial image respectively select the left image and the right image in the images in the binocular sequence captured by the binocular camera, and use the left image as a reference image For illustration, stereo matching (that is, disparity estimation) is performed on the left image, and the estimation method is the same for the right image. The specific process is as follows:

[0042] (1) Read in two images, which are images in the binocular sequence captured by a binocular camera, which are the left image and the right image respectively. In other embodiments, the first initial image and the second initial image The images can also be two images taken by a monocular camera at a certain horizontal displacement, both images are color images, and have undergone epipolar correction, that is, the epipolar lines of the two images are horizontally parallel , whic...

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Abstract

The invention discloses an RADAR parallax image optimization method, a stereo matching parallax image optimization method and a stereo matching parallax image optimization system. The RADAR parallax image optimization method comprises the following steps: obtaining a color block graph: performing contrast enhancement on an initial image, converting the initial image from an RGB space into a CIELab space, and performing color blocking on the CIELab space by mean-shift color partitioning to obtain the color block graph; acquiring edge information of a parallax image: receiving an initial parallax image of the initial image, and extracting the edge information of the parallax image in the initial parallax image by combining Canny operator; optimizing the parallax image: performing inconsistent region detection on the color block graph and the edge information of the parallax image to obtain a problem region graph, performing OccWeight correction on the initial parallax image according to the problem region graph, and filtering to obtain a final parallax image. According to the method disclosed by the invention, after the initial parallax image is optimized, the error rate is reduced, and the accuracy of the final parallax image is improved.

Description

technical field [0001] The invention relates to the technical field of stereo matching image processing, in particular to a RADAR disparity map optimization method, a stereo matching disparity map optimization method and a system. Background technique [0002] In traditional video systems, users can only passively watch the pictures captured by the camera, and cannot watch different pictures from other perspectives. However, Multi-View Video allows users to watch from multiple viewpoints, enhancing In addition to interactivity and 3D sensory effects, it has broad application prospects in fields such as stereoscopic television, video conferencing, automatic navigation, and virtual reality. However, multi-view video not only enhances interactivity and sensory effects, but also increases the amount of video data, and increases the burden on video storage and transmission. How to solve such problems has become a current research hotspot. [0003] Stereo matching, also known as ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/50
Inventor 焦剑波王荣刚王振宇高文王文敏董胜富
Owner 深圳市沉浸视觉科技有限公司
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