DocumentCode :
3139164
Title :
Structure and motion from uniform 3D acceleration
Author :
Franzen, Wolfgang Otto
Author_Institution :
Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear :
1991
fDate :
7-9 Oct 1991
Firstpage :
14
Lastpage :
20
Abstract :
The author derives a multiframe feature-based closed form solution to the structure from motion problem when the camera and an object (or the environment) are undergoing uniform relative 3D acceleration. A central projection camera model is assumed, and no smoothness assumptions are imposed concerning object surfaces. It is assumed that a separate process has already performed motion correspondence and segmentation, and that sequences of features across at least three images are provided as input. The algorithm can process not only point features, but also line features as well. In addition, a given feature is not required to be visible in every frame. The (serial) computational complexity of the algorithm is proportional to the number of features being tracked times the number of frames. Test results are presented for synthetic and real data
Keywords :
computational complexity; image sequences; motion estimation; tracking; approaching car sequence; central projection camera model; computational complexity; line features; multiframe feature-based closed form solution; point features; structure from acceleration; structure from motion; tracking; uniform 3D acceleration; Acceleration; Cameras; Intelligent robots; Intelligent structures; Intelligent systems; Iterative algorithms; Least squares methods; Life estimation; Robot vision systems; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Motion, 1991., Proceedings of the IEEE Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-8186-2153-2
Type :
conf
DOI :
10.1109/WVM.1991.212793
Filename :
212793
Link To Document :
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