Soatto, Stefano and Perona, Pietro (1995) Visual motion estimation from point features: Unified view. In: Proceedings 1995 International Conference on Image Processing. IEEE Computer Society Press , Los Alamitos, CA, pp. 21-24. ISBN 0-8186-7310-9 http://resolver.caltech.edu/CaltechAUTHORS:20120224-081251481
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All methods for recursive estimation of 3-D motion from sequences of perspective images of point-features may be cast within a common framework. The unifying concept is the decoupling of the states of the dynamic observer that estimates motion and structure parameters. Two techniques are possible: explicit decoupling, following the principles of the “reduced-order observer”, and implicit, via stabilization (or “compensation”). While we know how to calculate explicit decoupling for a limited number of state variables combinations, for instance using the “essential constraint” of Longuet-Higgins (1981) or the “subspace constraint” of Heeger and Jepson (1992), implicit decoupling is always possible by stabilizing an appropriate smooth function of the motion parameters. We describe some of the most “natural” choices, which consist in compensating for the image-motion of a point, a line or a plane. All the models we derive are in the form of implicit dynamical systems with parameters on different manifolds. Estimating motion may be regarded as the identification of such models, which may be carried out using general methods available in the literature.
|Item Type:||Book Section|
|Additional Information:||© 1995 IEEE. Sponsored by NSF NYI Award, ERC in Neuromorphic Engineering, ONR grant N00014-93-1-0990.|
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|Official Citation:||Soatto, S.; Perona, P.; , "Visual motion estimation from point features: unified view," Image Processing, 1995. Proceedings., International Conference on , vol.3, no., pp.21-24 vol.3, 23-26 Oct 1995 doi: 10.1109/ICIP.1995.537570 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=537570&isnumber=11608|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Ruth Sustaita|
|Deposited On:||24 Feb 2012 16:34|
|Last Modified:||23 Aug 2016 10:10|
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