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ICIP
1997
IEEE
14 years 6 months ago
Higher order local autocorrelation features of PARCOR images for gesture recognition
This paper proposes a feature extraction method for gesture recognition, which is based on higher order local autocorrelation (HLAC) of PARCOR images. To extract dominant informat...
Takio Kurita, Yasuo Kobayashi, Taketoshi Mishima
ICIP
2001
IEEE
14 years 6 months ago
Higher order autocorrelations for pattern classification
The use of higher-order local autocorrelations as features for pattern recognition has been acknowledged since many years, but their applicability was restricted to relatively low...
Vlad Popovici, Jean-Philippe Thiran
ACCV
2009
Springer
13 years 7 months ago
Image Classification Using Probability Higher-Order Local Auto-Correlations
Abstract. In this paper, we propose a novel method for generic object recognition by using higher-order local auto-correlations on probability images. The proposed method is an ext...
Tetsu Matsukawa, Takio Kurita
ICIP
2010
IEEE
13 years 2 months ago
Pyramidal segmentation using higher-order local auto-correlations and its applications to Landsat forestry data
The goal of image segmentation is to partition an image into regions that are internally homogeneous and heterogeneous with respect to neighbouring regions. Recently, a link shifti...
Milos Stojmenovic, Takumi Kobayashi, Nobuyuki Otsu
ACII
2005
Springer
13 years 10 months ago
Facial Expression Recognition Using HLAC Features and WPCA
This paper proposes a new facial expression recognition method which combines Higher Order Local Autocorrelation (HLAC) features with Weighted PCA. HLAC features are computed at ea...
Fang Liu, Zhiliang Wang, Li Wang, Xiuyan Meng