DocumentCode :
831577
Title :
View variation of point-set and line-segment features
Author :
Burns, J.Brian ; Weiss, Richard S. ; Riseman, Edward M.
Author_Institution :
Dept. of Comput. & Inf. Sci., Massachusetts Univ., Amherst, MA, USA
Volume :
15
Issue :
1
fYear :
1993
fDate :
1/1/1993 12:00:00 AM
Firstpage :
51
Lastpage :
68
Abstract :
The variation, with respect to view, of 2D features defined for projections of 3D point sets and line segments is studied. It is established that general-case view-invariants do not exist for any number of points, given true perspective, weak perspective, or orthographic projection models. Feature variation under the weak perspective approximation is then addressed. Though there are no general-case weak-perspective invariants, there are special-case invariants of practical importance. Those cited in the literature are derived from linear dependence relations and the invariance of this type of relation to linear transformation. The variation with respect to view is studied for an important set of 2D line segment features: the relative orientation, size, and position of one line segment with respect to another. The analysis includes an evaluation criterion for feature utility in terms of view-variation. This relationship is a function of both the feature and the particular configuration of 3D line segments. The use of this information in objection recognition is demonstrated for difficult discrimination tasks
Keywords :
feature extraction; image recognition; 2D line segment features; 3D point sets; feature variation; image recognition; view variation; weak perspective approximation; Image recognition; Image segmentation; Information science; Object recognition; Organizing; Surface structures;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.184774
Filename :
184774
Link To Document :
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