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» Comparative Testing of Face Detection Algorithms
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ICIP
2001
IEEE
14 years 7 months ago
An unsupervised color image segmentation algorithm for face detection applications
This paper presents an unsupervisedcolor segmentation technique to divide skin detected pixels into a set of homogeneous regions which can be used in face detection applications o...
Alberto Albiol, Luis Torres, Edward J. Delp
GECCO
2010
Springer
196views Optimization» more  GECCO 2010»
13 years 10 months ago
Using synthetic test suites to empirically compare search-based and greedy prioritizers
The increase in the complexity of modern software has led to the commensurate growth in the size and execution time of the test suites for these programs. In order to address this...
Zachary D. Williams, Gregory M. Kapfhammer
IVC
2007
266views more  IVC 2007»
13 years 5 months ago
Face detection and facial feature localization without considering the appearance of image context
Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Effi...
Suphakant Phimoltares, Chidchanok Lursinsap, Kosin...
CLEAR
2007
Springer
154views Biometrics» more  CLEAR 2007»
13 years 12 months ago
Tsinghua Face Detection and Tracking for CLEAR 2007 Evaluation
This paper presents the algorithm and evaluation results of a face detection and tracking system. A tree-structured multi-view face detector trained by Vector Boosting is used as t...
Yuan Li, Chang Huang, Haizhou Ai
WACV
2008
IEEE
14 years 4 days ago
Multi-Pose Face Detection with Asymmetric Haar Features
In this paper we present a system for multi-pose face detection. Our system presents three main contributions. First, we introduce the use of asymmetric Haar features. Asymmetric ...
Geovany A. Ramírez, Olac Fuentes