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» Learning Visual Invariance
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ACIVS
2006
Springer
14 years 1 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
ICRA
2005
IEEE
120views Robotics» more  ICRA 2005»
14 years 3 months ago
Complex Objects Pose Estimation based on Image Moment Invariants
— Moments are generic (and usually intuitive) descriptors that can be computed from several kinds of objects defined either from closed contours or from a set of points. In this...
Omar Tahri, François Chaumette
ECCV
2008
Springer
14 years 11 months ago
View Point Tracking of Rigid Objects Based on Shape Sub-manifolds
We study the task to infer and to track the viewpoint onto a 3D rigid object by observing its image contours in a sequence of images. To this end, we consider the manifold of invar...
Christian Gosch, Ketut Fundana, Anders Heyden, Chr...
ICML
2003
IEEE
14 years 10 months ago
Visual Learning by Evolutionary Feature Synthesis
Krzysztof Krawiec, Bir Bhanu
VISUALIZATION
1991
IEEE
14 years 1 months ago
A Tool for Visualizing the Topology of Three-Dimensional Vector Fields
We describe a software system, TOPO, that numerically analyzes and graphically displays topological aspects of a three dimensional vector field, v, to produce a single, relativel...
Al Globus, C. Levit, T. Lasinski