ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Symmetry and self-similarity is the cornerstone of Nature, exhibiting itself through the shapes of natural creations and ubiquitous laws of physics. Since many natural objects are...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
In this paper, we address the problem of learning compact, view-independent, realistic 3D models of human actions recorded with multiple cameras, for the purpose of recognizing th...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper considers an application of scale-invariant feature detection using scale-space analysis suitable for use with wide field of view cameras. Rather than obtain scalespac...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
The matching of planar shapes can be cast as a problem of finding the shortest path through a graph spanned by the two shapes, where the nodes of the graph encode the local simil...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Structural perception of data plays a fundamental role in pattern analysis and machine learning. In this paper, we develop a new structural perception of data based on local conte...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
We introduce the use of over-complete spherical wavelets for shape analysis of 2D closed surfaces. Bi-orthogonal spherical wavelets have been shown to be powerful tools in the seg...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper shows that structure from motion is NP-hard for most sensible cost functions when missing data is allowed. The result provides a fundamental limitation of what is possi...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...