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PCM
2004
Springer
156views Multimedia» more  PCM 2004»
10 years 1 months ago
Spatial Histogram Features for Face Detection in Color Images
This paper presents a novel face detection approach in color images. We employ spatial histograms as robust features for face detection. The spatial histograms consist of marginal ...
Hongming Zhang, Debin Zhao
MVA
2002
261views Computer Vision» more  MVA 2002»
9 years 7 months ago
Detecting Faces in Color Images Using an Adaptive Color Model and Salient Features
Face detection has many interesting applications such as a face recognition system, a surveillance system, and videolimage indexing system. In this paper, we propose a new method ...
Hang-Bong Kang
CVPR
2008
IEEE
10 years 10 months ago
One step beyond histograms: Image representation using Markov stationary features
This paper proposes a general framework called Markov stationary features (MSF) to extend histogram based features. The MSF characterizes the spatial co-occurrence of histogram pa...
Jianguo Li, Weixin Wu, Tao Wang, Yimin Zhang
AIPR
2005
IEEE
10 years 1 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman
ICASSP
2009
IEEE
10 years 2 months ago
Color image feature extraction using color index local auto-correlations
In this paper, we propose a method for extracting color image features, called color index local auto-correlations. Pixel color is quantized and described sparsely in a manner sim...
Takumi Kobayashi, Nobuyuki Otsu
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