A Disparity Estimation Method Based on Improved Adaptive Weighting and Confidence Propagation

A technology of adaptive weighting and confidence propagation, applied in computing, image data processing, instruments, etc., can solve problems such as inaccurate evaluation of parallax planes, large amount of calculation for high-precision matching algorithms, and low matching accuracy
CN104166987BInactive Publication Date: 2017-01-25HARBIN NORMAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HARBIN NORMAL UNIVERSITY
Publication Date
2017-01-25
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a parallax estimation method based on improved adaptive weighted summation and confidence propagation, belonging to the computer stereo visual sense technology field. The invention solves the problems that matching accuracy of the parallax calculated by the current matching algorithm in the shielding area and depth discontinuous area is low, that the high accuracy matching algorithm has heavy calculation quantity, that the implementation is poor, and the refinement method parallax plane estimation based on the segmentation is not accurate. The parallax estimation method comprises steps of computing correlated values among matching pixels by utilizing the weight class changing method, performing matching on shielding pixels afresh through improving the adaptive weight method, using the improved confidence propagation algorithm to perform global optimization on a disparity map, using a refinement module to perform refinement on the disparity map, and utilizing the improved confidence propagation algorithm again and the correlated value and the disparity map to perform global optimization. The invention can be applied in segmentation of the stereo image, encoding of the stereo video, robot vision, target tracking, etc.
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Description

technical field

[0001] The invention relates to a parallax estimation method, in particular to a parallax estimation method based on improved adaptive weighting and confidence propagation, and belongs to the technical field of computer stereo vision. Background technique

[0002] Parallax evaluation is the basis of computer stereo vision. In recent years, with the improvement of computer performance, parallax evaluation has attracted more and more attention. It has broad application prospects in military, aviation, robot navigation and other fields. The existing disparity estimation algorithms can be divided into two categories: local algorithms and global algorithms. Generally speaking, the calculation speed of the local algorithm is fast, but the calculation accuracy of the disparity is low, while the calculation accuracy of the global algorithm is high, but the complexity of the algorithm is large, and it is difficult to implement. Through the search of the prior art doc...

Claims

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