Method for tracking depth image

A technology of depth image and image, which is applied in the field of computer vision stereoscopic video, can solve problems such as blurred object edges, zigzags, and mismatching points in depth maps, and achieve the effects of improving efficiency, avoiding block effects, and improving blur effects
CN101710426BInactive Publication Date: 2011-08-24无锡景象数字技术有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
无锡景象数字技术有限公司
Publication Date
2011-08-24
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a method for tracking a depth image, which belongs to the field of computer visual three-dimensional videos. The method comprises the following steps of: acquiring two frames of images p and q, and the depth image of the p; acquiring an estimated depth image of the q by using an improved bilateral filtering algorithm first; and then modifying the estimated depth image of the q by using a motion compensation algorithm based on block matching so as to acquire an accurate depth image of the q. The method can acquire a very accurate depth image, so the efficiency of manufacturing a three-dimensional video.
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Description

technical field

[0001] The invention relates to a method for tracking dense depth images in stereoscopic video production, and belongs to the field of computer vision stereoscopic video. Background technique

[0002] With the development of computer technology, flat video can no longer meet people's needs for expressing the world, and the research of stereoscopic video has become a hot spot.

[0003] The biggest difference between stereoscopic video and ordinary planar video is that stereoscopic video contains depth information, that is, the distance between the object in the video and the observer, which is impossible in planar video. However, in the production of stereoscopic video, the cost of obtaining depth images is also very high, so it is necessary to study how to use limited depth images to obtain more depth images.

[0004] Currently, there are two main methods for depth image tracking, motion estimation and bilateral filtering. The motion estimation method inclu...

Claims

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