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
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-8186-3880-X
DOI :
10.1109/CVPR.1993.341006
