Rapid shape acquisition using color structured light and multi-pass dynamic programming

This paper presents a color structured light technique for recovering object shape from one or more images. The technique works by projecting a pattern of stripes of alternating colors and matching the projected color transitions with observed edges in the image. The correspondence problem is solved...

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Published in:Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission pp. 24 - 36
Main Authors: Li Zhang, Curless, B., Seitz, S.M.
Format: Conference Proceeding
Language:English
Published: IEEE 2002
Subjects:
Brightness
Dynamic programming
Frequency
Image reconstruction
Layout
Lighting
Optical sensors
Optical surface waves
Shape
Surface reconstruction
ISBN:0769515214
Online Access:Get full text
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Abstract This paper presents a color structured light technique for recovering object shape from one or more images. The technique works by projecting a pattern of stripes of alternating colors and matching the projected color transitions with observed edges in the image. The correspondence problem is solved using a novel, multi-pass dynamic programming algorithm that eliminates global smoothness assumptions and strict ordering constraints present in previous formulations. The resulting approach is suitable for generating both high-speed scans of moving objects when projecting a single stripe pattern and high-resolution scans of static scenes using a short sequence of time-shifted stripe patterns. In the latter case, space-time analysis is used at each sensor pixel to obtain inter-frame depth localization. Results are demonstrated for a variety of complex scenes.
AbstractList This paper presents a color structured light technique for recovering object shape from one or more images. The technique works by projecting a pattern of stripes of alternating colors and matching the projected color transitions with observed edges in the image. The correspondence problem is solved using a novel, multi-pass dynamic programming algorithm that eliminates global smoothness assumptions and strict ordering constraints present in previous formulations. The resulting approach is suitable for generating both high-speed scans of moving objects when projecting a single stripe pattern and high-resolution scans of static scenes using a short sequence of time-shifted stripe patterns. In the latter case, space-time analysis is used at each sensor pixel to obtain inter-frame depth localization. Results are demonstrated for a variety of complex scenes.
Author Seitz, S.M.
Curless, B.
Li Zhang
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  organization: Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA
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  givenname: S.M.
  surname: Seitz
  fullname: Seitz, S.M.
  organization: Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA
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Snippet This paper presents a color structured light technique for recovering object shape from one or more images. The technique works by projecting a pattern of...
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StartPage 24
SubjectTerms Brightness
Dynamic programming
Frequency
Image reconstruction
Layout
Lighting
Optical sensors
Optical surface waves
Shape
Surface reconstruction
Title Rapid shape acquisition using color structured light and multi-pass dynamic programming
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