Recursive Factorization Method for the Paraperspective Model Based on the Perspective Projection
・ ICPR (Sep 2000)
A Robust Recursive Factorization Method for Recovering Structure and Motion from Live Video Frames
We present a fast and robust approach for recovering structure and motion from video frames. It first describes a robust recursive factorization method for affine projection. Using the Least Median of Squares (LMedS) criterion, the method estimates the dominant 3D affine motion and discards feature points regarded as outliers. The computational cost of the overall procedure is reduced by combining this robust-statistics-based method with a recursive factorization method that can at each frame provide the updated 3D structure of an object at a fixed computational cost by using the principal component analysis. We then demonstrate that the method can be used to estimate the dominant structure and the motion robustly and in real-time on an off-the-shelf PC.
Affine Epipolar Geometry via Factorization MethodWe present the intuitive interpretation of affine epipolar geometry for the orthographic, scaled orthographic, and paraperspective projection models in terms of the factorization method for the generalized affine projection (GAP) model proposed by Fujiki and Kurata (1997).
Using the GAP model introduced by Mundy and Zisserman (1992), each affine projection model can be resolved into the orthographic projection model by the introduction of virtual image planes, then the affine epipolar geometry can be simply obtained from the estimates of the factorization method.
・ICPR (Aug 1998)
Feature Tracking on Occluding Boundaries for Modeling-by-videotaping
・VSMM'96 (Sept 1996)