ICCV
2007
IEEE
13 years 11 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
13 years 11 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
13 years 11 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
13 years 11 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
13 years 11 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
13 years 11 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
13 years 11 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
13 years 11 months ago
2007
IEEE
ICCV
2007
IEEE
13 years 11 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
13 years 11 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...