Projective reconstruction from N views having one view in common

4Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Projective reconstruction recovers projective coordinates of 3D scene points from their several projections in 2D images. We introduce a method for the projective reconstruction based on concatenation of trifocal constraints around a reference view. This configuration simplifies computations significantly. The method uses only linear estimates which stay “close” to image data. The method requires correspondences only across triplets of views. However, it is not symmetrical with respect to views. The reference view plays a special role. The method can be viewed as a generalization of Hartley’s algorithm [11], or as a particular application of Triggs’ [21] closure relations.

Cite

CITATION STYLE

APA

Urban, M., Pajdla, T., & Hlaváč, V. (2000). Projective reconstruction from N views having one view in common. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1883, pp. 116–131). Springer Verlag. https://doi.org/10.1007/3-540-44480-7_8

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free