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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Quan-Geng Ge Tian-Qi Han Hui-Liang Shen |
| Copyright Year | 2015 |
| Description | Author affiliation: Coll. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China (Quan-Geng Ge; Tian-Qi Han; Hui-Liang Shen) |
| Abstract | This paper proposes a novel photometric stereo method for reliable reconstruction of non-Lambertian object surfaces based on color and noise analysis. Unlike previous techniques that treat highlight pixels as outliers, the proposed method utilizes the intrinsic shape cue in those pixels by robust reflection separation. Image noise is estimated from two photometric images instead of a single one, thus the common uniform block assumption can be eliminated. The highlight pixels are identified by analyzing intensity and chromaticity uncertainty, and the specularity components are removed based on robust estimation of diffuse chromaticities. The normals of deficient positions, whose pixels are of extremely low intensities, are computed from individual channels. The obtained surface normal map is further refined by adaptive lateral filtering. Experimental results show that, compared with the state-of-the-art techniques, the proposed method produces improved reconstruction accuracy, which indicates the effectiveness of the proposed method for non-Lambertian object surfaces. |
| Starting Page | 441 |
| Ending Page | 447 |
| File Size | 743906 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467381253 |
| e-ISBN | 9781467381260 |
| DOI | 10.1109/CompComm.2015.7387612 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty Diffuse reflection Estimation Color Reflection Reflection component Image reconstruction Surface reconstruction Image color analysis Specular highlight Noise analysis Chromaticity Colored noise |
| Content Type | Text |
| Resource Type | Article |
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