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Multi-view stereo matching method based on self-adaptive watershed image segmentation

A stereo matching and adaptive technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as jumping and discontinuity

Active Publication Date: 2013-04-03
SHENZHEN XIAOLAJIAO TECH CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

These methods cannot solve the problem of conflicts between video frames when applied to dynamic video sequences, and the results of depth estimation often show discontinuous jumps.

Method used

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  • Multi-view stereo matching method based on self-adaptive watershed image segmentation
  • Multi-view stereo matching method based on self-adaptive watershed image segmentation
  • Multi-view stereo matching method based on self-adaptive watershed image segmentation

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Embodiment Construction

[0051] The method of the present invention will be further described in detail below in conjunction with the accompanying drawings. The adaptive watershed method is used to initially segment the input image, and each region is used as a point cloud. The Prim method is used to fuse the point cloud. By identifying each region in the fusion process It is where to start to set the threshold of different classes, and when the threshold is reached, the fusion is stopped to form a minimum spanning tree T. The remaining point clouds continue to use the Prim method and the adaptive local threshold method to obtain the remaining minimum spanning trees until all point clouds are fully fused to form the required pixel group layer. The energy equation is established according to the pixel group layer, and the optimized α-expansion method is used to find matching points, and finally the required depth map is obtained.

[0052] All "views" and "images" in this embodiment refer to digital bit...

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Abstract

The invention provides a multi-view stereo matching method based on self-adaptive watershed image segmentation, provides a new self-adaptive local threshold method, and applies the method to region fusion of a watershed combined with a Prim method. The method comprise the following steps: processing an image using a self-adaptive watershed, so that pixels in the picture segment the image into different regions in a certain relation, allocating mark numbers to set up an energy equation, and providing a new large-region parameter-free smoothing constraint model; and finally through an optimized alpha-expansion method, searching by using a pixel range in a minimum spanning tree region for region pixels within the range to find a matching point, otherwise not performing the search. A neighborhood enables the method to more flexibly obtain a better target boundary, thus achieving very good effect at a discontinuous boundary and in a high folding texture region. While not affecting the quality of an synthesized view, the method solves the problem of contraction between a static image and a motion video, and discontinuous jumping phenomenon does not occur in the result of depth estimation.

Description

Technical field: [0001] The invention relates to a processing method of a multi-purpose digital image, in particular to a multi-purpose stereo matching method based on an adaptive watershed graph cut. Background technique: [0002] With the continuous development of multimedia technology, image and video technology is also developing from two-dimensional to three-dimensional, and interactivity will become a main feature of future multimedia technology. One of the key technologies of interactive 3D video system is virtual viewpoint rendering synthesis. Virtual viewpoint rendering synthesis is an indispensable module for all stereoscopic display system terminals, and it also plays a vital role in high-end multimedia fields such as remote video conferencing and free viewpoint stereoscopic TV. In order to enable users to roam in the scene and realize "continuous look around", the number of cameras should be as many as possible during the multi-view video collection process, but...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/187G06T7/38
Inventor 祝世平杨柳
Owner SHENZHEN XIAOLAJIAO TECH CO LTD
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