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» Robust Texture Recognition Using Credal Classifiers
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CVPR
2009
IEEE
16 years 10 months ago
Recognition using Regions
This paper presents a unified framework for object detection, segmentation, and classification using regions. Region features are appealing in this context because: (1) they enco...
Chunhui Gu, Joseph J. Lim, Pablo Arbelaez, Jitendr...
CIARP
2004
Springer
15 years 8 months ago
Adaboost to Classify Plaque Appearance in IVUS Images
Intravascular Ultrasound images represent a unique tool to analyze the morphological vessel structures and make decisions about plaque presence. Texture analysis is a robust way to...
Oriol Pujol, Petia Radeva, Jordi Vitrià, Jo...
145
Voted
ICIP
2006
IEEE
16 years 4 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
179
Voted
ACCV
2010
Springer
14 years 10 months ago
Descriptor Learning Based on Fisher Separation Criterion for Texture Classification
Abstract. This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fish...
Yimo Guo, Guoying Zhao, Matti Pietikäinen, Zh...
PSIVT
2007
Springer
354views Multimedia» more  PSIVT 2007»
15 years 9 months ago
Real-Time Hand Gesture Detection and Recognition Using Boosted Classifiers and Active Learning
In this article a robust and real-time hand gesture detection and recognition system for dynamic environments is proposed. The system is based on the use of boosted classifiers for...
Hardy Francke, Javier Ruiz-del-Solar, Rodrigo Vers...