Publication Date:
2009
Citation:
Constraints for the Trifocal Tensor / A. Alzati, A. Tortora (ADVANCES IN PATTERN RECOGNITION). - In: Tensors in Image Processing and Computer Vision / [a cura di] S. Aja-Fernandez, R. de Luis Garcia, D. Tao, X. Li. - London : Springer, 2009. - ISBN 9781848822986. - pp. 261-269 [10.1007/978-1-84882-299-3_12]
abstract:
In this paper we give an account of two different methods to find constraints for the trifocal tensor T, 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 T, they suffice to decide whether T is indeed trifocal. Note that eight is minimum possible number of constraints.
IRIS type:
03 - Contributo in volume
Keywords:
Homogeneous Polynomial; Ambient Space; Double Line; Generic Choice; Projective Class
List of contributors:
A. Alzati, A. Tortora
Link to information sheet:
Book title:
Tensors in Image Processing and Computer Vision