Motion estimation via dynamic vision

DOI10.1109/9.486640zbMath0847.93006OpenAlexW2140393629MaRDI QIDQ4884110

Pietro Perona, Ruggero Frezza, Stefano Soatto

Publication date: 8 October 1996

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://authors.library.caltech.edu/6486/

zbMATH Keywords

identificationnonlinearvisual motion estimation

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) System identification (93B30) Estimation and detection in stochastic control theory (93E10) Automated systems (robots, etc.) in control theory (93C85) Observability (93B07)

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Nonlinear mean shift over Riemannian manifolds ⋮ Essential matrix estimation using Gauss-Newton iterations on a manifold ⋮ 3-D structure from visual motion: Modeling, representation and observability ⋮ The methods of dynamical reconstruction of an input in a system of ordinary differential equations ⋮ Robust structure and motion recovery for monocular vision systems with noisy measurements ⋮ Observer forms for perspective systems ⋮ Nonlinear observers for perspective time-invariant linear systems. ⋮ Tracking of Manoeuvring Visual Targets ⋮ A performance criterion for the depth estimation with application to robot visual servo control ⋮ Effectiveness of multirate input control in deadbeat servomechanism ⋮ Robust filtering for deterministic systems with implicit outputs ⋮ Geometric Euler--Maruyama Schemes for Stochastic Differential Equations in SO(n) and SE(n) ⋮ The Space of Essential Matrices as a Riemannian Quotient Manifold ⋮ Single camera based motion and shape estimation using extended Kalman filtering

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