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Reducing "Structure From Motion": a General Framework for Dynamic Vision - Part 1: Modeling

Soatto, Stefano and Perona, Pietro (1996) Reducing "Structure From Motion": a General Framework for Dynamic Vision - Part 1: Modeling. California Institute of Technology , Pasadena, CA. (Unpublished)

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The literature on recursive estimation of structure and motion from monocular image sequences comprises a large number of different models and estimation techniques. We propose a framework that allows us to derive and compare all models by following the idea of dynamical system reduction. The "natural" dynamic model, derived by the rigidity constraint and the perspective projection, is first reduced by explicitly decoupling structure (depth) from motion. Then implicit decoupling techniques are explored, which consist of imposing that some function of the unknown parameters is held constant. By appropriately choosing such a function, not only can we account for all models seen so far in the literature, but we can also derive novel ones.

Item Type:Report or Paper (Technical Report)
Perona, Pietro0000-0002-7583-5809
Group:Control and Dynamical Systems Technical Reports
Subject Keywords:Visual motion estimation, epipolar geometry, motion decoupling, compensation, fixation, parallax, output stabilization, model reduction
Record Number:CaltechCDSTR:1996.001
Persistent URL:
Usage Policy:You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format.
ID Code:28110
Deposited By: Imported from CaltechCDSTR
Deposited On:20 Oct 2006
Last Modified:03 Oct 2019 03:29

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