40 search results - page 7 / 8 » Principal Manifolds and Probabilistic Subspaces for Visual R... |
ICPR
2000
IEEE
13 years 10 months ago
2000
IEEE
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
ICCV
2003
IEEE
14 years 8 months ago
2003
IEEE
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
CVPR
2001
IEEE
14 years 8 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
VLSISP
2010
13 years 4 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
ICCV
2011
IEEE
12 years 6 months ago
2011
IEEE
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...