DocumentCode :
938129
Title :
Reconstruction of sculpture from its profiles with unknown camera positions
Author :
Wong, Kwan-Yee Kenneth ; Cipolla, Roberto
Author_Institution :
Dept. of Comput. Sci. & Inf. Syst., Hong Kong Univ., China
Volume :
13
Issue :
3
fYear :
2004
fDate :
3/1/2004 12:00:00 AM
Firstpage :
381
Lastpage :
389
Abstract :
Profiles of a sculpture provide rich information about its geometry, and can be used for shape recovery under known camera motion. By exploiting correspondences induced by epipolar tangents on the profiles, a successful solution to motion estimation from profiles has been developed in the special case of circular motion. The main drawbacks of using circular motion alone, namely the difficulty in adding new views and part of the object always being invisible, can be overcome by incorporating arbitrary general views of the object and registering its new profiles with the set of profiles resulting from the circular motion. We describe a complete and practical system for producing a three-dimensional (3D) model from uncalibrated images of an arbitrary object using its profiles alone. Experimental results on various objects are presented, demonstrating the quality of the reconstructions using the estimated motion.
Keywords :
art; image reconstruction; image sequences; matrix algebra; motion estimation; solid modelling; 3D model; circular motion estimation; epipolar tangents; fundamental matrix; image sequence; profile registration; sculpture profiles; sculpture reconstruction; shape recovery; three-dimensional model; uncalibrated images; Cameras; Computer science; Councils; Data mining; Image reconstruction; Image sequences; Information geometry; Information systems; Motion estimation; Shape; Algorithms; Anthropology, Cultural; Archaeology; Archives; Culture; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Models, Statistical; Pattern Recognition, Automated; Photography; Quality Control; Reproducibility of Results; Sculpture; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2003.821113
Filename :
1278361
Link To Document :
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