Research on stereo matching algorithm of 3D reconstruction based on improved census transform

Fengyun Huang; Xiaoge Hu; Liuli Gong; Lanlan Cai

doi:10.1117/12.2681150

8 June 2023 Research on stereo matching algorithm of 3D reconstruction based on improved census transform

Fengyun Huang, Xiaoge Hu, Liuli Gong, Lanlan Cai

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127071N (2023) https://doi.org/10.1117/12.2681150
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

Stereo matching is a critical step in three-dimensional reconstruction. The conventional Census transform is excessively dependent on the central pixel and is susceptible to noise interference. Therefore, this study proposes a cost calculation method for multi-feature fusion based on the HSV color space and an improved Census transform. To address the problem of poor matching in regions with weak textures and depth discontinuities. In this study, a new window construction method is developed based on the length and variable color threshold to obtain the crossover region. After dividing the weights of the constructed windows, the cost aggregation is calculated. Finally, a dense parallax map is obtained via parallax calculation and optimization. Experiments were conducted based on the data provided by the Middlebury dataset. The experimental results showed that the improved cost calculation algorithm was significantly resistant to noise, and the average mis match rate of the algorithm was reduced to 8.03%.

Citation Download Citation

Fengyun Huang, Xiaoge Hu, Liuli Gong, and Lanlan Cai "Research on stereo matching algorithm of 3D reconstruction based on improved census transform", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127071N (8 June 2023); https://doi.org/10.1117/12.2681150

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