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A depth estimation method based on relative height depth cues

A technology of depth estimation and depth cues, applied in the field of depth estimation based on relatively high depth cues, can solve the problems of depth map accuracy to be improved, depth value inconsistency, etc., to achieve the effect of good smoothing strength, improved accuracy, and improved quality

Active Publication Date: 2017-01-25
SICHUAN PANOVASIC TECH +1
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AI Technical Summary

Problems solved by technology

[0007] When the existing depth estimation methods based on relative height and depth cues all assume that all objects in the image scene are vertical and upright on the ground, that is, the images are all bottom, near, and top, but the actual image scene may be left, right, and far. or right near left far
In addition, the depth value obtained for the target at the same depth in the image will be inconsistent, and the accuracy of the estimated depth map needs to be improved

Method used

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  • A depth estimation method based on relative height depth cues
  • A depth estimation method based on relative height depth cues
  • A depth estimation method based on relative height depth cues

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[0041] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that in the following description, when detailed descriptions of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.

[0042] figure 1 It is a flow chart of a specific embodiment of the depth estimation method based on relative height and depth clues in the present invention.

[0043] In this example, if figure 1 As shown, the depth estimation method based on relative height depth cues in the present invention includes: depth estimation based on line trajectory tracking 1, visual attention calculation 2, joint bilateral filtering 3, and superposition 4 of depth maps. The whole method is input as a color image of a video sequence, and the output is the final depth map.

[0044] In depth e...

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Abstract

The invention discloses a depth estimation method based on a relative height-depth clue. An edge image is obtained by edge detecting first, then an image scene is judged through Hough transform, a corresponding template is selected according to the image scene for depth estimation, an initial depth image is obtained, and accordingly the depth estimation of various image scenes is achieved. In addition, by obtaining a saliency map of an image, the phenomenon that depth values obtained by targets with the same depth in the image are not the same is relieved, and depth image accuracy is improved. Meanwhile, combination bilateral filtering is used for filtering of the initial depth image and the saliency map, the smoothness intensity is better, and the quality of the depth image is further improved.

Description

technical field [0001] The invention belongs to the technical field of video image processing, and more specifically relates to a depth estimation method based on relative height and depth clues. Background technique [0002] Depth estimation is the key technology in 2D to 3D conversion, and 2D to 3D technology started in the 1990s, and has achieved fruitful results after about 20 years of development. [0003] According to whether the 2D to 3D conversion is real-time conversion, the method adopted is not nearly the same. At this stage, non-real-time conversion can be applied to post-production of digital TV and movies, and its typical technology providers include In-Three, PassmoreLab, DDD, CRC, and Leonis Cinema. [0004] Real-time conversion is suitable for TVs and other mobile handheld devices as a useful supplement to true 3D content. Its typical technology providers include JVC, DDD, HDlogix, and CRC. Since real-time processing requires high speed, its depth estimat...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 刘然谭迎春曹东华田逢春黄振伟李博乐谭伟敏
Owner SICHUAN PANOVASIC TECH
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