TY - JOUR
T1 - A combinatorial transparent surface modeling from polarization images
AU - Fanany, Mohamad Ivan
AU - Kobayashi, Kiichi
AU - Kumazawa, Itsuo
N1 - Funding Information:
★ This work is supported by the National Institute of Information and Communications Technology (NICT) of Japan.
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33745829237&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-30503-3_5
DO - 10.1007/978-3-540-30503-3_5
M3 - Article
AN - SCOPUS:33745829237
SN - 0302-9743
VL - 3322
SP - 65
EP - 76
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -