DocumentCode
3707410
Title
Albedo assisted high-quality shape recovery from 4D light fields
Author
Fei Liu;Guangqi Hou;Zhenan Sun;Tieniu Tan
Author_Institution
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
fYear
2015
Firstpage
1220
Lastpage
1224
Abstract
Over the past decade, shape reconstruction methods have been limited to Lambertian reflectance with uniform albedo and controlled lighting environment. In this paper, we present an approach for recovering high-quality shapes from 4D light fields, which can handle non-Lambertian and multi-albedo scenes with shadows and inter-reflections. 4D light fields represent all light rays that hit the sensor plane from different directions, and the depth map from light fields is robust to non-Lambertian objects. Specifically, we estimate the albedos by eliminating shadows and inter-reflections with the edge and chromaticity. Then the lighting environment is analyzed from albedos and shading. Finally, the high-quality surface geometry is exactly recovered through normal refinement. We evaluate the effectiveness and robustness on the public 4D light fields database with both synthetic and real-world scenes.
Keywords
"Lighting","Shape","Estimation","Cameras","Three-dimensional displays","Robustness","Image reconstruction"
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/ICIP.2015.7350994
Filename
7350994
Link To Document