Title
Toward Reconstructing Surfaces With Arbitrary Isotropic Reflectance : A Stratified Photometric Stereo Approach
Abstract
We consider the problem of reconstructing the shape of a surface with an arbitrary, spatially varying isotropic bidi- rectional reflectance distribution function (BRDF), and in- troduce a novel, stratified photometric stereo method. By using a particular configuration of lights, it is possible to use symmetry in the image measurements resulting from BRDF isotropy to estimate at each point a plane contain- ing the surface normal. For differentiable surfaces, this al- lows us to recover the isocontours of the depth map, but not the actual depth associated with each contour. The isocon- tour structure provides topological information about the surface (critical points, Reeb graph, etc.). By using addi- tional cues in the image data or imposing additional con- straints on the surface (e.g., shadows, specular highlights, Helmholtz Reciprocity, uniform BRDF), the unknown height of each isocontour can be estimated and the metric structure is resolved. We validate this technique on real and synthetic data by successfully recovering the isocontours of the depth map from images.
Year
DOI
Venue
2007
10.1109/ICCV.2007.4408881
Rio de Janeiro
Keywords
Field
DocType
image reconstruction,stereo image processing,topology,BRDF isotropy,image data,image measurements,isocontour structure,isocontours,isotropic bidirectional reflectance distribution function,isotropic reflectance,stratified photometric stereo approach,surface reconstruction,topological information
Helmholtz reciprocity,Bidirectional reflectance distribution function,Specular highlight,Surface reconstruction,Computer vision,Computer science,Artificial intelligence,Depth map,Photometric stereo,Normal,Reeb graph
Conference
Volume
Issue
ISSN
2007
1
1550-5499 E-ISBN : 978-1-4244-1631-8
ISBN
Citations 
PageRank 
978-1-4244-1631-8
39
1.41
References 
Authors
18
2
Name
Order
Citations
PageRank
Neil G. Alldrin12708.45
David Kriegman27693451.96