DocumentCode
3003387
Title
Depth from sliding projections
Author
Hermans, Chris ; Francken, Yannick ; Cuypers, Tom ; Bekaert, Philippe
Author_Institution
Expertise Centre for Digital Media, Hasselt Univ., Hasselt, Belgium
fYear
2009
fDate
20-25 June 2009
Firstpage
1865
Lastpage
1872
Abstract
In this paper we present a novel method for 3D structure acquisition, based on structured light. Unlike classical structured light methods, in which a static projector illuminates a scene with time-varying illumination patterns, our technique makes use of a moving projector emitting a static striped illumination pattern. This projector is translated at a constant velocity, in the direction of the projector´s horizontal axis. Illuminating the object in this manner allows us to perform a per pixel analysis, in which we decompose the recorded illumination sequence into a corresponding set of frequency components. The dominant frequency in this set can be directly converted into a corresponding depth value. This per pixel analysis allows us to preserve sharp edges in the depth image. Unlike classical structured light methods, the quality of our results is not limited by projector or camera resolution, but is solely dependent on the temporal sampling density of the captured image sequence. Additional benefits include a significant robustness against common problems encountered with structured light methods, such as occlusions, specular reflections, subsurface scattering, interreflections, and to a certain extent projector defocus.
Keywords
cameras; image sequences; 3D structure acquisition; camera resolution; captured image sequence; classical structured light method; constant velocity; dominant frequency; extent projector defocus; pixel analysis; recorded illumination sequence; sliding projection; specular reflection; static projector illumination; static striped illumination pattern; subsurface scattering; temporal sampling density; time-varying illumination pattern; Cameras; Frequency conversion; Image analysis; Image converters; Image resolution; Image sequence analysis; Layout; Lighting; Performance analysis; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on
Conference_Location
Miami, FL
ISSN
1063-6919
Print_ISBN
978-1-4244-3992-8
Type
conf
DOI
10.1109/CVPR.2009.5206610
Filename
5206610
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