Structured light 3D depth map enhancement and gesture recognition using image content adaptive filtering

Vikas Ramachandra; James Nash; Kalin Atanassov; Sergio Goma

doi:10.1117/12.2058772

7 March 2014 Structured light 3D depth map enhancement and gesture recognition using image content adaptive filtering

Vikas Ramachandra, James Nash, Kalin Atanassov, Sergio Goma

Proceedings Volume 9020, Computational Imaging XII; 902005 (2014) https://doi.org/10.1117/12.2058772
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

A structured-light system for depth estimation is a type of 3D active sensor that consists of a structured-light projector that projects an illumination pattern on the scene (e.g. mask with vertical stripes) and a camera which captures the illuminated scene. Based on the received patterns, depths of different regions in the scene can be inferred. In this paper, we use side information in the form of image structure to enhance the depth map. This side information is obtained from the received light pattern image reflected by the scene itself. The processing steps run real time. This post-processing stage in the form of depth map enhancement can be used for better hand gesture recognition, as is illustrated in this paper.

Citation Download Citation

Vikas Ramachandra, James Nash, Kalin Atanassov, and Sergio Goma "Structured light 3D depth map enhancement and gesture recognition using image content adaptive filtering", Proc. SPIE 9020, Computational Imaging XII, 902005 (7 March 2014); https://doi.org/10.1117/12.2058772

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