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|Title:||Multi-view photometric stereo with spatially varying isotropic materials|
|Source:||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|
|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.|
|Source Title:||Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition|
|Appears in Collections:||Staff Publications|
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