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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sukhan Lee Jongmoo Choi Daesik Kim Jaekeun Na Seungsub Oh |
| Copyright Year | 2005 |
| Description | Author affiliation: Intelligent Systems Research Center Sungkyunkwan University 300, Cheoncheon-dong, Jangan-gu, Suwon-si, Gyeonggi-do, 440-746, Korea; lsh@ece.skku.ac.kr (Sukhan Lee) |
| Abstract | This paper presents an original approach to coding the light patterns for robust depth imaging based on structured light. We have discovered that the degradation of precision and robustness, seen in most conventional approaches to structured light, comes mainly from the overlapping of multiple codes in the signal received at a camera pixel, where the overlapped codes are from the neighbouring and/or, even, distant pixels of the projecting mirror array. Considering the criticality of separating the overlapped codes to precision and robustness, we propose a novel signal separation code, referred to here as “Hierarchical Orthogonal Code (HOC),” for depth imaging. HOC provides not only the separation of overlapped codes, but also a robust decision on pixel correspondence with error correction based on a contextual likelihood among the sets of separated codes from neighbouring camera pixels. The experimental results have shown that the proposed HOC significantly enhances the robustness and precision in depth imaging, compared to the best known conventional approaches. The proposed approach opens a greater feasibility of applying structured light based depth imaging to a 3D modelling of cluttered workspace for home service robots. |
| Starting Page | 4430 |
| Ending Page | 4436 |
| File Size | 362296 |
| Page Count | 7 |
| File Format | |
| ISBN | 078038914X |
| DOI | 10.1109/ROBOT.2005.1570802 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-04-18 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Source separation Robustness Image coding Pixel Mirrors Optical arrays Digital cameras Layout Intelligent systems Intelligent structures Orthogonal Coding Structured Light Depth Imaging Signal Separation |
| Content Type | Text |
| Resource Type | Article |
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