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» Phoneme recognition using Boosted Binary Features
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ICPR
2004
IEEE
14 years 11 months ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
ICCV
2005
IEEE
14 years 3 months ago
TemporalBoost for Event Recognition
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
Paul Smith, Niels da Vitoria Lobo, Mubarak Shah
ICPR
2008
IEEE
14 years 4 months ago
Establishing point correspondence using multidirectional binary pattern for face recognition
This paper presents a new Multidirectional Binary Pattern (MBP) for face recognition. Different from most Local Binary Pattern (LBP) related approaches which cluster LBP occurrenc...
Sanqiang Zhao, Yongsheng Gao
AVSS
2008
IEEE
14 years 4 months ago
Recognizing Shapes in Video Sequences Using Multi-class Boosting
We model the spatio-temporal variations of the shape of objects in a video sequence using a unique SVD-like decomposition. The decomposition is used to compute shape features, whi...
Naresh P. Cuntoor, Matt Welborn
PAMI
2006
333views more  PAMI 2006»
13 years 9 months ago
Face Description with Local Binary Patterns: Application to Face Recognition
This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from whi...
Timo Ahonen, Abdenour Hadid, Matti Pietikäine...