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
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