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WEIGHTED FACTORIZATION Pedro M. Q. Aguiar
 

Summary: WEIGHTED FACTORIZATION
Pedro M. Q. Aguiar
, Jos´e M. F. Moura
Carnegie Mellon University
Pittsburgh PA, USA
ABSTRACT
Factorization methods use linear subspace constraints to re-
cover 3D rigid structure from 2D motion. Usually, these
methods give equal weight to the contribution of each re-
gion (or feature) to the estimates of the 3D structure. In this
paper, we accommodate different confidence weights for the
2D motion parameter estimates of each region, by rewriting
the problem as the factorization of a modified matrix. This
incurs no additional computational cost.
1. INTRODUCTION
Recovery of 3D shape and 3D motion (3D structure) from
an image video sequence is useful in many areas. Among
IEEE International Conference on Image Processing
September 2000, Vancouver, Canada
c 2000 IEEE

  

Source: Aguiar, Pedro M. Q. - Institute for Systems and Robotics (Lisbon)

 

Collections: Engineering