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» Fast Hybrid Approach for Texturing Point Models
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EMNLP
2006
13 years 9 months ago
Extremely Lexicalized Models for Accurate and Fast HPSG Parsing
This paper describes an extremely lexicalized probabilistic model for fast and accurate HPSG parsing. In this model, the probabilities of parse trees are defined with only the pro...
Takashi Ninomiya, Takuya Matsuzaki, Yoshimasa Tsur...
ISVC
2009
Springer
14 years 2 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
CVPR
1999
IEEE
1104views Computer Vision» more  CVPR 1999»
14 years 9 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
ISMAR
2006
IEEE
14 years 1 months ago
Going out: robust model-based tracking for outdoor augmented reality
This paper presents a model-based hybrid tracking system for outdoor augmented reality in urban environments enabling accurate, realtime overlays for a handheld device. The system...
Gerhard Reitmayr, Tom Drummond
SIAMIS
2010
156views more  SIAMIS 2010»
13 years 2 months ago
Learning the Morphological Diversity
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
Gabriel Peyré, Jalal Fadili, Jean-Luc Starc...