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- Title
A photometric sampling method for facial shape recovery.
- Authors
Hernández-Rodríguez, Felipe; Castelán, Mario
- Abstract
The authors propose a photometric method to recover facial shape that is consistent with expected facial proportions. The method borrows ideas from photometric sampling, a technique that estimates shape from continuous variations of a light source around a single circular path. This approach aims at enriching photometric information by including variations of the light source along its zenith angle. To this end, a luminance matrix describing lighting response along both azimuth and zenith angles of the light source is built for each pixel. A method based on fitting sine functions onto the singular vectors of the collected luminance matrices is proposed for estimating a surface normal map. The estimated surface normals are later refined to maximize a facial proportion criterion and finally be integrated. Experiments demonstrate that our approach successfully approximates 3D face shape while preserving facial proportions within the limits of expected depth.
- Subjects
HUMAN facial recognition software; LUMINANCE (Photometry); IMAGE reconstruction; COMPUTER graphics; COMPUTER algorithms
- Publication
Machine Vision & Applications, 2016, Vol 27, Issue 4, p483
- ISSN
0932-8092
- Publication type
Article
- DOI
10.1007/s00138-016-0755-9