An adaptive point tracking method based on depth map for 2D-3D video conversion

Yangdong Liu; Xinzhu Sang; Tianqi Zhao; Xunbo Yu; Guozhong Shi; Jing Liu

doi:10.1117/12.2072652

24 November 2014 An adaptive point tracking method based on depth map for 2D-3D video conversion

Yangdong Liu, Xinzhu Sang, Tianqi Zhao, Xunbo Yu, Guozhong Shi, Jing Liu

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93012G (2014) https://doi.org/10.1117/12.2072652
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

The three-dimensional (3D) display technology has made a great progress in the last several decades, which provides a dramatic improvement in visual experiences. The availability of 3D content is a critical factor limiting wide applications of 3D technology. An adaptive point tracking method based on the depth map is demonstrated, which is used to automatically generate depth maps elaborately. Point tracking method used in the previous investigation is template matching and it can’t track points precisely. An adaptive point tracking method with adaptive window and weights based on the discontinuous edge information and texture complexity of the depth map is used. In the experiment, a method to automatically generate the depth maps using trace points between adjacent images is realized. Theoretical analysis and experimental results show that the presented method can track feature points precisely, and the depth maps of non-key images are perfectly generated.

Citation Download Citation

Yangdong Liu, Xinzhu Sang, Tianqi Zhao, Xunbo Yu, Guozhong Shi, and Jing Liu "An adaptive point tracking method based on depth map for 2D-3D video conversion", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93012G (24 November 2014); https://doi.org/10.1117/12.2072652

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