DocumentCode
2238369
Title
Reconstruction of HOT curves from image sequences
Author
Kriegman, David J. ; Vijayakumar, B. ; Ponce, Jean
Author_Institution
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
fYear
1993
fDate
15-17 Jun 1993
Firstpage
20
Lastpage
26
Abstract
An approach is presented for reconstructing two types of 3-D higher order tangency (HOT) curves from a sequence of images. These curves are useful for object recognition. The reconstruction results for bitangents are encouraging in comparison to those of inflections. They are probably more accurately reconstructed because they are readily located in images, and their common tangent is very accurately estimated from the point locations. This makes bitangents a good feature choice for recognition
Keywords
feature extraction; image recognition; image reconstruction; image sequences; 3D high-order tangency curve reconstruction; HOT curves; bitangents; image sequences; object recognition; Computed tomography; Computer vision; Image edge detection; Image reconstruction; Image sequences; Indexing; Motion detection; Object recognition; Shape; Solids;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location
New York, NY
ISSN
1063-6919
Print_ISBN
0-8186-3880-X
Type
conf
DOI
10.1109/CVPR.1993.341006
Filename
341006
Link To Document