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ISVC
2009
Springer
14 years 4 months 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
14 years 3 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
15 years 2 days 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
14 years 4 months 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»
15 years 2 days 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