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» Object Recognition from Local Scale-Invariant Features
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ICCV
2005
IEEE
15 years 9 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
131
Voted
ECCV
2010
Springer
15 years 8 months ago
Tracklet Descriptors  for Action Modeling and Video Analysis
We present spatio-temporal feature descriptors that can be inferred from video and used as building blocks in action recognition systems. They capture the evolution of ``elementar...
Michalis Raptis , Stefano Soatto
125
Voted
ICMCS
2010
IEEE
149views Multimedia» more  ICMCS 2010»
15 years 3 months ago
Single-view recaptured image detection based on physics-based features
In daily life, we can see images of real-life objects on posters, television, or virtually any type of smooth physical surfaces. We seldom confuse these images with the objects pe...
Xinting Gao, Tian-Tsong Ng, Bo Qiu, Shih-Fu Chang
142
Voted
PAMI
2006
132views more  PAMI 2006»
15 years 3 months ago
Rapid Object Indexing Using Locality Sensitive Hashing and Joint 3D-Signature Space Estimation
We propose a new method for rapid 3D object indexing that combines feature-based methods with coarse alignment-based matching techniques. Our approach achieves a sublinear complexi...
Bogdan Matei, Ying Shan, Harpreet S. Sawhney, Yi T...
151
Voted
ICBA
2004
Springer
144views Biometrics» more  ICBA 2004»
15 years 9 months ago
Improving Iris Recognition Accuracy via Cascaded Classifiers
As a reliable approach to human identification, iris recognition has received increasing attention in recent years. In the literature of iris recognition, local feature of image de...
Zhenan Sun, Yunhong Wang, Tieniu Tan, Jiali Cui