Linear Projective Reconstruction from Matching Tensors

This paperdescribes initial work on a family of projectivereconstructiontechniques that extract projection matrices directly and linearly from matching tensors estimated from image data. The simplest methods use fundamental matrices and epipoles, alternative ones use trilinear tensors. All of the data is treated uniformly, and there is no reliance on `privileged' images or tokens. The approach is based on `joint image closure relations' -- bilinear constraints between the projection matrices and their matching tensors, that express the fact that the latter derive from the former. The performance of the new techniques is quantified and compared with that of several existing methods.

• Type: Conference
• Year: 1996
• Where: BMVC
• Authors: Bill Triggs
• Keywords: BMVC 1996, Computer Vision, Fundamental Matrices, Projection Matrices, Trilinear Tensors