2009 | OriginalPaper | Chapter
Constraints for the Trifocal Tensor
Authors : Alberto Alzati, Alfonso Tortora
Published in: Tensors in Image Processing and Computer Vision
Publisher: Springer London
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In this chapter we give an account of two different methods to find constraints for the trifocal tensor
Т
, used in geometric computer vision. We also show how to single out a set of only eight equations that are generically complete, i.e. for a generic choice of
Т
, they suffice to decide whether
Т
is indeed trifocal. Note that eight is minimum possible number of constraints.