Depth map assisted active contour image matting method and system

An active contour and depth map technology, applied in the field of three-dimensional reconstruction, can solve the problems of image holes, poor results, and low accuracy of depth values, and achieve the effect of removing noise points, improving three-dimensional reconstruction models, and maintaining geometric topology.
CN110189339AInactive Publication Date: 2019-08-30CHONGQING UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHONGQING UNIV
Publication Date
2019-08-30
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a depth map assisted active contour image matting method and system, and the method comprises the following steps: obtaining a depth map of a color target image, carrying out the processing of the depth map through employing a repair algorithm, and obtaining a repaired depth map; carrying out confidence calculation on the repaired depth map and the target image to obtain adepth confidence map and a color confidence map; carrying out level set segmentation by utilizing the depth confidence map and the color confidence map, obtaining a final target contour, and obtaininga required tripartite graph; and respectively obtaining a matting result of the color image and a matting result obtained by the depth image, setting a color difference degree to measure a distance value between the foreground and the background, when the distance value is smaller than a given threshold T, adopting the color matting result, and otherwise, adopting the depth matting result. The method can better solve the problem of background similarity before and after the image, and is closer to the boundary of the to-be-segmented object in the segmentation process, so that the geometric topology of the object is better maintained, and the required binary segmentation result is obtained.
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Description

technical field

[0001] The invention belongs to the technical field of three-dimensional reconstruction, and relates to performing foreground estimation on a target object to realize the separation (matching) of background information before and after, in particular to a depth map-assisted active contour matting method and system. Background technique

[0002] 2017 is called the first year of artificial intelligence, thanks to the rapid development of computing power. At the same time, the constantly updated and iterative computing power has promoted the development of computer vision, and 3D reconstruction technology has received unprecedented attention. In 3D reconstruction, the object of concern is not only the objects in real life, but also the use of virtual models to represent real objects in life.

[0003] So, how to realize the use of virtual models to describe real objects? At present, there are mainly two methods that are popular in the industry: the first is to ...

Claims

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