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» Enhancing Training Set for Face Detection
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ICPR
2004
IEEE
16 years 2 months ago
Learning Sample Subspace with Application to Face Detection
In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...
Guoping Qiu, Jianzhong Fang
CLEAR
2007
Springer
154views Biometrics» more  CLEAR 2007»
15 years 7 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
CLOR
2006
15 years 4 months ago
Synergistic Face Detection and Pose Estimation with Energy-Based Models
We describe a novel method for real-time, simultaneous multi-view face detection and facial pose estimation. The method employs a convolutional network to map face images to point...
Margarita Osadchy, Yann LeCun, Matthew L. Miller
ICPR
2000
IEEE
15 years 5 months ago
Face Detection Based on Generic Local Descriptors and Spatial Constraints
In this paper we present an algorithm for face detection that is based on generic local descriptors (e.g. eyes). A generic descriptor captures the distribution of individual descr...
Veronika Vogelhuber, Cordelia Schmid
JCP
2008
167views more  JCP 2008»
15 years 1 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao