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ADCM
2007
104views more  ADCM 2007»
13 years 4 months ago
Shape preserving histogram approximation
We present a new method for reconstructing the density function underlying a given histogram. First we analyze the univariate case taking the approximating function in a class of q...
Paolo Costantini, Francesca Pelosi
PCM
2004
Springer
156views Multimedia» more  PCM 2004»
13 years 10 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
ICIP
2005
IEEE
14 years 6 months ago
Gray-scale image enhancement using the SMQT
This paper explores the Successive Mean Quantization Transform (SMQT) for automatic enhancement of gray-scale images. The transform is in the paper presented using set theory. The...
Mikael Nilsson, Mattias Dahl, Ingvar Claesson
IVC
2006
259views more  IVC 2006»
13 years 4 months ago
Object detection using spatial histogram features
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao
ICIP
2008
IEEE
14 years 6 months ago
A supervised nonlinear neighborhood embedding of color histogram for image indexing
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
Xian-Hua Han, Yen-Wei Chen, Takeshi Sukegawa