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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yang Lei Bengtson, K.R. Li, L. Allebach, J.P. |
| Copyright Year | 2013 |
| Description | Author affiliation: Hewlett-Packard Co., Boise, ID, USA (Bengtson, K.R.; Li, L.) || Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA (Yang Lei; Allebach, J.P.) |
| Abstract | 3D shape reconstruction is one of the most important topics in computer vision due to its wide field of application. Among various technologies, structured light is considered to be one of the most reliable techniques. This paper addresses the problem of finding correspondences in a structured-light 3D shape reconstruction system. The work is based on the 3-symbol binary M-array encoded pattern proposed by Albitar. A new 6-symbol M-array pattern is designed with guaranteed minimum Hamming distance of three among all 3 × 3 windows. Improvements to the decoding algorithm are made, which allows successful identification of most symbols, and which corrects one possible error or missing symbol in each 3 × 3 window. Finally, refinements are made to the algorithm for finding correspondences, including back-projection of the captured structured light pattern to the projector plane to eliminate projective distortion. |
| Starting Page | 2168 |
| Ending Page | 2172 |
| File Size | 1519005 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479923410 |
| DOI | 10.1109/ICIP.2013.6738447 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-15 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | low-cost system Structured light correspondences binary codes feature extraction |
| Content Type | Text |
| Resource Type | Article |
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