DocumentCode :
2180247
Title :
Semi-automatic geometric model construction for 3D traffic vision
Author :
Baker, K.D. ; Tan, T.N. ; Attwood, C.I. ; Sullivan, G.D.
Author_Institution :
Dept. of Comput. Sci., Reading Univ., UK
fYear :
1994
fDate :
25-27 May 1994
Firstpage :
19
Lastpage :
24
Abstract :
This paper concerns the construction of 3D geometric object models from monocular intensity images. Two semi-automatic techniques are described. One is based on structure from motion, and the other on structure from symmetry. Both techniques fully exploit a priori knowledge such as the ground-plane constraint and the known topology of the object to be modelled. The techniques require human intervention in solving problems (such as feature detection and matching) which cannot be processed reliably and accurately by the computer. Both techniques have been implemented as interactive user application support tools. The tools have been used to generate tens of object models which are now routinely used in a 3D model-based traffic vision system
Keywords :
computer vision; traffic control; traffic recording; 3D traffic vision; a priori knowledge; geometric model construction; geometric object models; monocular intensity images; traffic monitoring; traffic vision system; Cameras; Computer science; Computer vision; Humans; Layout; Machine vision; Roads; Solid modeling; Topology; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 1994. Symposium Proceedings, ISIE '94., 1994 IEEE International Symposium on
Conference_Location :
Santiago
Print_ISBN :
0-7803-1961-3
Type :
conf
DOI :
10.1109/ISIE.1994.333124
Filename :
333124
Link To Document :
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