Sciweavers

161 search results - page 15 / 33
» Object Detection Via Boosted Deformable Features
Sort
View
ICANN
2009
Springer
14 years 2 months ago
Multimodal Sparse Features for Object Detection
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
Martin Haker, Thomas Martinetz, Erhardt Barth
CVPR
2003
IEEE
14 years 9 months ago
Kullback-Leibler Boosting
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
Ce Liu, Heung-Yeung Shum
CVPR
2005
IEEE
14 years 9 months ago
Robust Object Detection via Soft Cascade
We describe a method for training object detectors using a generalization of the cascade architecture, which results in a detection rate and speed comparable to that of the best p...
Lubomir D. Bourdev, Jonathan Brandt
CVPR
2011
IEEE
13 years 3 months ago
Discriminative Image Warping with Attribute Flow
We address the problem of finding deformation between two images for the purpose of recognizing objects. The challenge is that discriminative features are often transformation-va...
Weiyu Zhang, Praveen Srinivasan, Jianbo Shi
CVPR
2006
IEEE
14 years 9 months ago
On-line Boosting and Vision
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
Helmut Grabner, Horst Bischof