Title
A combinatorial transparent surface modeling from polarization images
Abstract
This paper presents a combinatorial (decision tree induction) technique for transparent surface modeling from polarization images. This technique simultaneously uses the object’s symmetry, brewster angle, and degree of polarization to select accurate reference points. The reference points contain information about surface’s normals position and direction at near occluding boundary. We reconstruct rotationally symmetric objects by rotating these reference points.
Year
DOI
Venue
2004
10.1007/978-3-540-30503-3_5
IWCIA
Keywords
Field
DocType
rotationally symmetric object,near occluding boundary,polarization image,normals position,reference point,combinatorial transparent surface modeling,transparent surface modeling,brewster angle,accurate reference point,decision tree induction
Discrete geometry,Surface reconstruction,Degree of polarization,Computer science,Image processing,Brewster's angle,Polarization (waves),Axial symmetry,Geometry,Normal
Conference
Volume
ISSN
ISBN
3322
0302-9743
3-540-23942-1
Citations 
PageRank 
References 
2
0.38
11
Authors
3
Name
Order
Citations
PageRank
Mohamad Ivan Fanany1348.50
Kiichi Kobayashi251.64
Itsuo Kumazawa317423.81