374 search results - page 3 / 75 » Robust kernel density estimation |
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
A novel 3D shape matching method is proposed in this paper. We first extract angular and distance feature pairs from pre-processed 3D models, then estimate their kernel densities ...
CSDA
2008
13 years 8 months ago
2008
Multivariate kernel density estimation provides information about structure in data. Feature significance is a technique for deciding whether features
ICCV
2003
IEEE
14 years 10 months ago
2003
IEEE
The robust regression techniques in the RANSAC family are popular today in computer vision, but their performance depends on a user supplied threshold. We eliminate this drawback ...
ECCV
2004
Springer
14 years 10 months ago
2004
Springer
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
DICTA
2007
13 years 10 months ago
2007
We propose a kernel-density based scheme that incorporates the object colors with their spatial relevance to track the object in a video sequence. The object is modeled by the col...