A photometric sampling method for facial shape recovery

作者：Hernandez Rodriguez Felipe; Castelan Mario^*

来源：Machine Vision and Applications, 2016, 27(4): 483-497.

DOI：10.1007/s00138-016-0755-9

• Photometric sampling
• Face analysis
• 3D shape recovery

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.

• 出版日期2016-5