Please use this identifier to cite or link to this item:
https://doi.org/10.1109/CVPR.2013.195
DC Field | Value | |
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dc.title | Multi-view photometric stereo with spatially varying isotropic materials | |
dc.contributor.author | Zhou, Z. | |
dc.contributor.author | Wu, Z. | |
dc.contributor.author | Tan, P. | |
dc.date.accessioned | 2014-06-19T03:19:34Z | |
dc.date.available | 2014-06-19T03:19:34Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Zhou, Z., Wu, Z., Tan, P. (2013). Multi-view photometric stereo with spatially varying isotropic materials. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 1482-1489. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2013.195 | |
dc.identifier.issn | 10636919 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/71076 | |
dc.description.abstract | We present a method to capture both 3D shape and spatially varying reflectance with a multi-view photometric stereo technique that works for general isotropic materials. Our data capture setup is simple, which consists of only a digital camera and a handheld light source. From a single viewpoint, we use a set of photometric stereo images to identify surface points with the same distance to the camera. We collect this information from multiple viewpoints and combine it with structure-from-motion to obtain a precise reconstruction of the complete 3D shape. The spatially varying isotropic bidirectional reflectance distribution function (BRDF) is captured by simultaneously inferring a set of basis BRDFs and their mixing weights at each surface point. According to our experiments, the captured shapes are accurate to 0.3 millimeters. The captured reflectance has relative root-mean-square error (RMSE) of 9%. © 2013 IEEE. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CVPR.2013.195 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1109/CVPR.2013.195 | |
dc.description.sourcetitle | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | |
dc.description.page | 1482-1489 | |
dc.description.coden | PIVRE | |
dc.identifier.isiut | 000331094301069 | |
Appears in Collections: | Staff Publications |
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