TY - GEN
T1 - Model indexing
T2 - 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992
AU - Sossa, H.
AU - Horaud, R.
N1 - Publisher Copyright:
© 1992 IEEE.
PY - 1992
Y1 - 1992
N2 - The problem of object recognition in computer vision is addressed. A method for model indexing, which, given a group of image features, rapidly extracts from the list of objects those objects containing this group of features, is presented. The method operates on an abstract representation of features, more precisely, groups of features. In practice, this abstract representation takes the form of a graph. The present study deals with binary graphs only, that is, only one feature-type and one feature-relationship-type can be embedded in the representation.
AB - The problem of object recognition in computer vision is addressed. A method for model indexing, which, given a group of image features, rapidly extracts from the list of objects those objects containing this group of features, is presented. The method operates on an abstract representation of features, more precisely, groups of features. In practice, this abstract representation takes the form of a graph. The present study deals with binary graphs only, that is, only one feature-type and one feature-relationship-type can be embedded in the representation.
UR - http://www.scopus.com/inward/record.url?scp=84958830154&partnerID=8YFLogxK
U2 - 10.1109/CVPR.1992.223252
DO - 10.1109/CVPR.1992.223252
M3 - Contribución a la conferencia
AN - SCOPUS:84958830154
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 811
EP - 814
BT - Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PB - IEEE Computer Society
Y2 - 15 June 1992 through 18 June 1992
ER -