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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| Vydáno v: | Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission s. 24 - 36 |
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| Hlavní autoři: | , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
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IEEE
2002
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| ISBN: | 0769515214 |
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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. |
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| 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 |
| Author_xml | – sequence: 1 surname: Li Zhang fullname: Li Zhang organization: Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA – sequence: 2 givenname: B. surname: Curless fullname: Curless, B. organization: Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA – sequence: 3 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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| 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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