A double feature fusion SGM algorithm

Lin Shi; Junqi Bai; Hui Ding; Hailang Du

doi:10.1117/12.2622427

27 March 2022 A double feature fusion SGM algorithm

Lin Shi, Junqi Bai, Hui Ding, Hailang Du

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121691U (2022) https://doi.org/10.1117/12.2622427
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

Stereo Vision is the key to 3D reconstruction, autonomous navigation, and non-contact ranging etc. semi-global stereo matching (SGM) is one of the stereo matching algorithms to obtain dense depth map, which is with both relatively high accuracy and efficiency. This paper describes a double feature fusion SGM algorithm, which is a fusion of the mean absolute difference (MAD) and Census transform as intensity to make cost calculation. A combination of MAD for the sensitivity to the texture and Census transform for the advantages of adaptive illumination change. This method is especially suitable for parallel computing processing platform and can be used in practical scenarios which have a higher demand of real-time performance.

Citation Download Citation

Lin Shi, Junqi Bai, Hui Ding, and Hailang Du "A double feature fusion SGM algorithm", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121691U (27 March 2022); https://doi.org/10.1117/12.2622427

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