36 search results - page 6 / 8 » Learning Discriminative Canonical Correlations for Object Re... |
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...
IBPRIA
2007
Springer
14 years 13 days ago
2007
Springer
Abstract. In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the presen...
PAMI
2007
13 years 5 months ago
2007
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
PSIVT
2009
Springer
14 years 24 days ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...