DocumentCode :
2860750
Title :
Capturing 2 ½ D Depth and Texture of Time-Varying Scenes Using Structured Infrared Light
Author :
Frueh, C. ; Zakhor, A.
Author_Institution :
University of California, Berkeley
fYear :
2005
fDate :
21-23 Sept. 2005
Firstpage :
102
Lastpage :
102
Abstract :
In this paper, we describe an approach to simultaneously capture visual appearance and depth of a time-varying scene. Our approach is based on projecting structured infrared (IR) light. Specifically, we project a combination of (a) a static vertical IR stripe pattern, and (b) a horizontal IR laser line sweeping up and down the scene; at the same time, the scene is captured with an IR-sensitive camera. Since IR light is invisible to the human eye, it does not disturb human subjects or interfere with human activities in the scene; in addition, it does not affect the scene’s visual appearance as recorded by a color video camera. Vertical lines in the IR frames are identified using the horizontal line, intra-frame tracking, and inter-frame tracking; depth along these lines is reconstructed via triangulation. Interpolating these sparse depth lines within the foreground silhouette of the recorded video sequence, we obtain a dense depth map for every frame in the video sequence. Experimental results corresponding to a dynamic scene with a human subject in motion are presented to demonstrate the effectiveness of our proposed approach.
Keywords :
dynamic scene; motion capture; structured light; Cameras; Geometry; Humans; Image motion analysis; Image reconstruction; Layout; Motion analysis; Streaming media; Video sequences; Visualization; dynamic scene; motion capture; structured light;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on
Conference_Location :
San Diego, CA, USA
ISSN :
1063-6919
Print_ISBN :
0-7695-2372-2
Type :
conf
DOI :
10.1109/CVPR.2005.428
Filename :
1565412
Link To Document :
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