We present an algebraic geometric approach to 3-D motion estimation and segmentation of multiple rigid-body motions from noise-free point correspondences in two perspective views. ...
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
In this paper we describe two methods for estimating the motion parameters of an image sequence. For a sequence of images, the global motion can be described by ???? independent m...
In this paper, we study the structure from motion problem as a constrained nonlinear least squares problem which minimizes the so called reprojection error subject to all constrai...
We present a new motion estimation framework and apply it to omni-directional imagery. Our method estimates motions incrementally using an Implicit Extended Kalman Filter (IEKF). ...