Fast acquisition of dense depth data by a new structured light scheme

Authors:
Andrew K. C. Wong;Peiyi Niu;Xiang He
Affiliations:
Department of Systems Design, University of Waterloo, Waterloo, Ont., Canada N2L 3G1;Department of Systems Design, University of Waterloo, Waterloo, Ont., Canada N2L 3G1;Department of Systems Design, University of Waterloo, Waterloo, Ont., Canada N2L 3G1
Venue:
Computer Vision and Image Understanding
Year:
2005

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Abstract

This paper introduces a new structured lighting scheme to obtain dense depth data fast and reliably. Its main idea is to use both features and continuous intensities organized in a hierarchical structure as the projection pattern. This hierarchical structure then guides the matching process. As a result, a dense depth map can be reliably acquired by grabbing only one image (or two images for better precision). Experimental results using a prototype system with two cameras and a lighting projector show that the proposed scheme is effective and efficient.