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» Scale invariant feature matching with wide angle images
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CVPR
2012
IEEE
12 years 6 days ago
On SIFTs and their scales
Scale invariant feature detectors often find stable scales in only a few image pixels. Consequently, methods for feature matching typically choose one of two extreme options: mat...
Tal Hassner, Viki Mayzels, Lihi Zelnik-Manor
3DPVT
2006
IEEE
213views Visualization» more  3DPVT 2006»
14 years 3 months ago
Generalized RANSAC Framework for Relaxed Correspondence Problems
Finding correspondences between two (widely) separated views is essential for several computer vision tasks, such as structure and motion estimation and object recognition. In the...
Wei Zhang, Jana Kosecka
ECCV
2004
Springer
14 years 11 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
IVC
2000
93views more  IVC 2000»
13 years 9 months ago
Pattern regularity as a visual key
Regular structures, flat and non-flat, are perceived as regular in a wide range of viewing angles and under varying illumination. In this papers, we exploit this simple observatio...
Dmitry Chetverikov
ECCV
2004
Springer
14 years 11 months ago
Simultaneous Object Recognition and Segmentation by Image Exploration
Methods based on local, viewpoint invariant features have proven capable of recognizing objects in spite of viewpoint changes, occlusion and clutter. However, these approaches fail...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...