Generalized connectivity constraints for spatio-temporal 3D reconstruction
Oswald MR, Stühmer J, Cremers D (2014)
Publication Type: Conference contribution
Publication year: 2014
Journal
Publisher: Springer Verlag
Book Volume: 8692 LNCS
Pages Range: 32-46
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: CHE
ISBN: 9783319105925
DOI: 10.1007/978-3-319-10593-2_3
Abstract
This paper introduces connectivity preserving constraints into spatio-temporal multi-view reconstruction. We efficiently model connectivity constraints by precomputing a geodesic shortest path tree on the occupancy likelihood. Connectivity of the final occupancy labeling is ensured with a set of linear constraints on the labeling function. In order to generalize the connectivity constraints from objects with genus 0 to an arbitrary genus, we detect loops by analyzing the visual hull of the scene. A modification of the constraints ensures connectivity in the presence of loops. The proposed efficient implementation adds little runtime and memory overhead to the reconstruction method. Several experiments show significant improvement over state-of-the-art methods and validate the practical use of this approach in scenes with fine structured details. © 2014 Springer International Publishing.
Involved external institutions
Germany (DE)How to cite
APA:
Oswald, M.R., Stühmer, J., & Cremers, D. (2014). Generalized connectivity constraints for spatio-temporal 3D reconstruction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 32-46). CHE: Springer Verlag.
MLA:
Oswald, Martin Ralf, Jan Stühmer, and Daniel Cremers. "Generalized connectivity constraints for spatio-temporal 3D reconstruction." Proceedings of the 13th European Conference on Computer Vision, ECCV 2014, CHE Springer Verlag, 2014. 32-46.
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