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» Learning Visual Invariance
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ACIVS
2006
Springer
15 years 5 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»
15 years 7 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
16 years 3 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
16 years 2 months ago
Visual Learning by Evolutionary Feature Synthesis
Krzysztof Krawiec, Bir Bhanu
VISUALIZATION
1991
IEEE
15 years 5 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