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BMVC
2002
13 years 7 months ago
Robust Wide Baseline Stereo from Maximally Stable Extremal Regions
The wide-baseline stereo problem, i.e. the problem of establishing correspondences between a pair of images taken from different viewpoints is studied. A new set of image elements...
Jiri Matas, Ondrej Chum, Martin Urban, Tomá...
ICIP
2006
IEEE
14 years 6 months ago
A Robust Method for the Estimation of Reliable Wide Baseline Correspondences
In this paper we present a complete method to retrieve reliable correspondences among wide baseline images, that is images of the same scene/object acquired from very different vi...
Francesco Colletto, Marco Marcon, Augusto Sarti, S...
ICCV
2001
IEEE
14 years 6 months ago
Viewpoint Invariant Texture Matching and Wide Baseline Stereo
We describe and demonstrate a texture region descriptor which is invariant to affine geometric and photometric transformations, and insensitive to the shape of the texture region....
Frederik Schaffalitzky, Andrew Zisserman
ICCV
2007
IEEE
14 years 6 months ago
Shape Descriptors for Maximally Stable Extremal Regions
This paper introduces an affine invariant shape descriptor for maximally stable extremal regions (MSER). Affine invariant feature descriptors are normally computed by sampling the...
David G. Lowe, Per-Erik Forssén
ICCV
2009
IEEE
14 years 7 months ago
Complete Multi-View Reconstruction of Dynamic Scenes from Probabilistic Fusion of Narrow and Wide Baseline Stereo
This paper presents a novel approach to achieve accurate and complete multi-view reconstruction of dynamic scenes (or 3D videos). 3D videos consist in sequences of 3D models in mot...
Tony Tung, Shohei Nobuhara, Takashi Matsuyama