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ISVC
2009
Springer
16 years 13 days ago
Probabilistic Facial Feature Extraction Using Joint Distribution of Location and Texture Information
Abstract. In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn featu...
Mustafa Berkay Yilmaz, Hakan Erdogan, Mustafa Unel
ECCV
2010
Springer
15 years 11 months ago
Convolutional learning of spatio-temporal features
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
CVPR
2004
IEEE
16 years 8 months ago
Detecting Unusual Activity in Video
We present an unsupervised technique for detecting unusual activity in a large video set using many simple features. No complex activity models and no supervised feature selection...
Hua Zhong, Jianbo Shi, Mirkó Visontai
ICIAR
2007
Springer
16 years 1 days ago
Bimodal Texture Segmentation with the Lee-Seo Model
This paper presents a novel approach to bimodal texture segmentation. The proposed approach features a local binary pattern-based scheme to transform bimodal textures into bimodal ...
Michalis A. Savelonas, Dimitrios K. Iakovidis, Dim...
CVPR
1999
IEEE
1104views Computer Vision» more  CVPR 1999»
16 years 8 months ago
Geodesic Active Contours for Supervised Texture Segmentation
This paper presents a variational method for supervised texture segmentation, which is based on ideas coming from the curve propagation theory. We assume that a preferable texture...
Nikos Paragios, Rachid Deriche