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» Learning to Detect A Salient Object
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ICCV
1999
IEEE
15 years 5 months ago
Epipolar Geometry Estimation by Tensor Voting in 8D
We present a novel, efficient, initializationfree approach to the problem of epipolar geometry estimation, by formulating it as one of hyperplane inference from a sparse and noisy...
Chi-Keung Tang, Gérard G. Medioni, Mi-Suen ...
ICCV
2011
IEEE
14 years 1 months ago
Hough-based Tracking of Non-Rigid Objects
Online learning has shown to be successful in tracking of previously unknown objects. However, most approaches are limited to a bounding-box representation with fixed aspect rati...
Martin Godec, Peter M. Roth, Horst Bischof
ICCV
2007
IEEE
16 years 3 months ago
How Good are Local Features for Classes of Geometric Objects
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
Michael Stark, Bernt Schiele
CVPR
2012
IEEE
13 years 3 months ago
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronnebe...
3DOR
2010
14 years 8 months ago
Semantics-Driven Approach for Automatic Selection of Best Views of 3D Shapes
We introduce a new framework for the automatic selection of the best views of 3D models. The approach is based on the assumption that models belonging to the same class of shapes ...
Hamid Laga