Title: Wide-baseline multiple-view correspondences
Authors: Ferrari, V
Tuytelaars, Tinne
Van Gool, Luc #
Issue Date: 2003
Conference: IEEE conference on computer vision and pattern recognition - CVPR 2003 location:Madison, Wisconsin, USA date:June 18-20
Abstract: We present a novel approach for establishing multiple-view feature correspondences along an unordered set of images taken from substantially different viewpoints. While recently several wide-baseline stereo (WBS) algorithms have appeared, the N-view case is largely unexplored. In this paper, an established WBS algorithm is used to extract and match features in pairs of views. The pairwise matches are first integrated into disjoint feature tracks, each representing a single physical surface patch in several views. By exploiting the interplay between the tracks, they are extended over more views, while unrelated image features are removed. Similarity and spatial relationships between the features are simultaneously used. The output consists of many reliable and accurate feature tracks, strongly connecting the input views. Applications include 3D reconstruction and object recognition. The proposed approach is not restricted to the particular choice of features and matching criteria. It can extend any method that provides feature correspondences between pairs of images.
Description: Proceedings IEEE conference on computer vision and pattern recognition - CVPR 2003, vol. I, pp. I-718-I-725, June 18-20, 2003, Madison, Wisconsin, USA
Publication status: published
KU Leuven publication type: IC
Appears in Collections:ESAT - PSI, Processing Speech and Images
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science