Internal and external similarity aggregation stereo match algorithm

Zhan Zhang; Dongsheng Yang

doi:10.1117/12.2539674

14 August 2019 Internal and external similarity aggregation stereo match algorithm

Zhan Zhang, Dongsheng Yang

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 1117923 (2019) https://doi.org/10.1117/12.2539674
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

When extracting disparity map, for the high non-occlusion region error rate and low efficiency of stereo matching algorithms, we defined internal similarity (IS) of neighbor pixels in reference color image, and in the color and sub-pixel space, we defined external similarity (ES) of candidate matching pixels between the reference and target images, and given the calculation methods of the internal similarity and external similarity. We discussed the relationship between the internal similarity and external similarity, and taken the internal similarity as the aggregation degree of the external similarity, and the internal and external similarity aggregation (IESA) algorithm was proposed to aggregate the external similarity by the internal similarity along eight directions, after that, the disparity map was calculated by the winner take all (WTA) algorithm, which was used to search the disparity corresponding to the maximum aggregation similarity. Finally, the box plot filter (BPF) was proposed to smooth the disparity map. Experiments on the Middlebury stereo datasets and the extend datasets show that the proposed algorithms achieve the state-of-the-art results.

Citation Download Citation

Zhan Zhang and Dongsheng Yang "Internal and external similarity aggregation stereo match algorithm", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 1117923 (14 August 2019); https://doi.org/10.1117/12.2539674

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KEYWORDS

Detection and tracking algorithms

Network on a chip

RGB color model

Venus

Distributed interactive simulations

Binary data

Evolutionary algorithms

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