Dense matching of multiple wide-baseline views
- 1 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 1194-1201 vol.2
- https://doi.org/10.1109/iccv.2003.1238627
Abstract
This paper describes a PDE-based method for dense depth extraction from multiple wide-baseline images. Emphasis lies on the usage of only a small amount of images. The integration of these multiple wide-baseline views is guided by the relative confidence that the system has in the matching to different views. This weighting is fine-grained in that it is determined for every pixel at every iteration. Reliable information spreads fast at the expense of less reliable data, both in terms of spatial communications within a view and in terms of information exchange between the views. Changes in intensity between images can be handled in a similar fine grained fashion.Keywords
This publication has 12 references indexed in Scilit:
- Image-based photo hullsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- PDE-based multi-view depth estimationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Reliable feature matching across widely separated viewsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Minimal Surfaces for StereoPublished by Springer Nature ,2002
- Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space Based ApproachJournal of Visual Communication and Image Representation, 2002
- A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence AlgorithmsInternational Journal of Computer Vision, 2002
- A Theory of Shape by Space CarvingInternational Journal of Computer Vision, 2000
- Wide Baseline Stereo Matching based on Local, Affinely Invariant RegionsPublished by British Machine Vision Association and Society for Pattern Recognition ,2000
- Reliable Estimation of Dense Optical Flow Fields with Large DisplacementsInternational Journal of Computer Vision, 2000
- Theoretical Foundations of Anisotropic Diffusion in Image ProcessingPublished by Springer Nature ,1996