45 search results - page 6 / 9 » Empirical Analysis of Detection Cascades of Boosted Classifi... |
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
A common design of an object recognition system has
two steps, a detection step followed by a foreground withinclass
classification step. For example, consider face detection
by...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
ICIP
2009
IEEE
13 years 6 months ago
2009
IEEE
In this paper, we propose a generic and efficient object detection framework based on two heterogeneous features and demonstrate effectiveness of our method for a cat face detecti...
ICIP
2009
IEEE
13 years 6 months ago
2009
IEEE
This paper presents a real-time face detection algorithm. It improves state-of-the-art 2D object detection techniques by additionally evaluating a disparity map, which is estimate...