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CIVR
2006
Springer
129views Image Analysis» more  CIVR 2006»
13 years 7 months ago
Retrieving Objects Using Local Integral Invariants
The use of local features in computer vision has shown to be promising. Local features have several advantages including invariance to image transformations, independence of the ba...
Alaa Halawani, Hashem Tamimi
CVPR
2010
IEEE
13 years 8 months ago
Local Features Are Not Lonely - Laplacian Sparse Coding for Image Classification
Sparse coding which encodes the original signal in a sparse signal space, has shown its state-of-the-art performance in the visual codebook generation and feature quantization pro...
Shenghua Gao, Wai-Hung Tsang, Liang-Tien Chia, Pei...
ICPR
2010
IEEE
13 years 9 months ago
Pairwise Features for Human Action Recognition
Existing action recognition approaches mainly rely on the discriminative power of individual local descriptors extracted from spatio-temporal interest points (STIP), while the geo...
Anh Phuong Ta, Christian Wolf, Guillaume Lavoue, A...
IROS
2006
IEEE
119views Robotics» more  IROS 2006»
13 years 9 months ago
Learning Similar Tasks From Observation and Practice
— This paper presents a case study of learning to select behavioral primitives and generate subgoals from observation and practice. Our approach uses local features to generalize...
Darrin C. Bentivegna, Christopher G. Atkeson, Gord...
ICMCS
2006
IEEE
135views Multimedia» more  ICMCS 2006»
13 years 9 months ago
Inquiring of the Sights from the Web via Camera Mobiles
In this paper, we presented an image search service for mobile users. It can be used to acquire related information by taking and sending pictures to the server, for example, gett...
Yinghua Zhou, Xin Fan, Xing Xie, Yuchang Gong, Wei...
ICCV
2007
IEEE
13 years 10 months ago
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper...
Yu Su, Shiguang Shan, Xilin Chen, Wen Gao
ICPR
2008
IEEE
13 years 10 months ago
Flexible object recognition in cluttered scenes using relative point distribution models
This paper introduces an edge-based object recognition method that is robust with respect to clutter, occlusion and object deformations. The method combines the use of local featu...
Alexandros Bouganis, Murray Shanahan
FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
13 years 10 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
EPIA
2009
Springer
13 years 10 months ago
Learning Visual Object Categories with Global Descriptors and Local Features
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
Rui Pereira, Luís Seabra Lopes
ICCV
2003
IEEE
14 years 5 months ago
Recognition with Local Features: the Kernel Recipe
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
Christian Wallraven, Barbara Caputo, Arnulf B. A. ...