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 :
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