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Proceedings Paper

Structured light 3D depth map enhancement and gesture recognition using image content adaptive filtering
Author(s): Vikas Ramachandra; James Nash; Kalin Atanassov; Sergio Goma
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Paper 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.

Paper Details

Date Published: 7 March 2014
PDF: 8 pages
Proc. SPIE 9020, Computational Imaging XII, 902005 (7 March 2014); doi: 10.1117/12.2058772
Show Author Affiliations
Vikas Ramachandra, Qualcomm Inc. (United States)
James Nash, Qualcomm Inc. (United States)
Kalin Atanassov, Qualcomm Inc. (United States)
Sergio Goma, Qualcomm Inc. (United States)


Published in SPIE Proceedings Vol. 9020:
Computational Imaging XII
Charles A. Bouman; Ken D. Sauer, Editor(s)

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