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A Dictionary-based Approach for Estimating Shape and
| Content Provider | CiteSeerX |
|---|---|
| Author | Reflectance, Spatially-Varying Hui, Zhuo Sankaranarayanan, Aswin C. |
| Abstract | We present a technique for estimating the shape and re-flectance of an object in terms of its surface normals and spatially-varying BRDF. We assume that multiple images of the object are obtained under fixed view-point and varying illumination, i.e, the setting of photometric stereo. Assum-ing that the BRDF at each pixel lies in the non-negative span of a known BRDF dictionary, we derive a per-pixel surface normal and BRDF estimation framework that re-quires neither iterative optimization techniques nor careful initialization, both of which are endemic to most state-of-the-art techniques. We showcase the performance of our technique on a wide range of simulated and real scenes where we outperform competing methods. |
| File Format | |
| Access Restriction | Open |
| Content Type | Text |
