TY - GEN
T1 - Vision-based registration for augmented reality with integration of arbitrary multiple planes
AU - Uematsu, Yuko
AU - Saito, Hideo
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - We propose a novel vision-based registration approach for Augmented Reality with integration of arbitrary multiple planes. In our approach, we estimate the camera rotation and translation by an uncalibrated image sequence which includes arbitrary multiple planes. Since the geometrical relationship of those planes is unknown, for integration of them, we assign 3D coordinate system for each plane independently and construct projective 3D space defined by projective geometry of two reference images. By integration with the projective space, we can use arbitrary multiple planes, and achieve high-accurate registration for every position in the input images.
AB - We propose a novel vision-based registration approach for Augmented Reality with integration of arbitrary multiple planes. In our approach, we estimate the camera rotation and translation by an uncalibrated image sequence which includes arbitrary multiple planes. Since the geometrical relationship of those planes is unknown, for integration of them, we assign 3D coordinate system for each plane independently and construct projective 3D space defined by projective geometry of two reference images. By integration with the projective space, we can use arbitrary multiple planes, and achieve high-accurate registration for every position in the input images.
UR - http://www.scopus.com/inward/record.url?scp=33745136476&partnerID=8YFLogxK
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U2 - 10.1007/11553595_19
DO - 10.1007/11553595_19
M3 - Conference contribution
AN - SCOPUS:33745136476
SN - 3540288694
SN - 9783540288695
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 155
EP - 162
BT - Image Analysis and Processing - ICIAP 2005, 13th International Conference, Proceedings
T2 - 13th International Conference on Image Analysis and Processing, ICIAP 2005
Y2 - 6 September 2005 through 8 September 2005
ER -