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CVPR
2010
IEEE
1248views Computer Vision» more  CVPR 2010»
16 years 13 days ago
Food Recognition Using Statistics of Pairwise Local Features
Food recognition is difficult because food items are deformable objects that exhibit significant variations in appearance. We believe the key to recognizing food is to exploit the...
Shulin Yang, Mei Chen, Dean Pomerleau, Rahul Sukth...
MVA
2000
154views Computer Vision» more  MVA 2000»
15 years 3 months ago
A Face Recognition Algorithm Robust Against Illumination Variations Using 3-Dimensional Face Shape
The authors propose a face recognition algorithm robust against the illumination variations, using an average face shape. The objective of this paper is two-fold: (1) to propose a...
Hitoshi Imaoka, Shizuo Sakamoto
ICCV
2011
IEEE
14 years 4 months ago
Exemplar Extraction using Spatio-Temporal Hierarchical Agglomerative Clustering for Face Recognition in Video
Many recent works have attempted to improve object recognition by exploiting temporal dynamics, an intrinsic property of video sequences. In this paper, a new spatiotemporal hiera...
John See, Chikkannan Eswaran
ICRA
2010
IEEE
117views Robotics» more  ICRA 2010»
15 years 2 months ago
Online intention recognition for computer-assisted teleoperation
— An online intention recognition algorithm for computer-assisted teleoperation is introduced. The algorithm is able to distinguish between phases of a typical object manipulatio...
Nikolay Stefanov, Angelika Peer, Martin Buss
ICASSP
2011
IEEE
14 years 7 months ago
Facial expression recognition using ensemble of classifiers
This paper presents a novel method for facial expression classification that employs the combination of two different feature sets in an ensemble approach. A pool of base classi...
Thiago H. H. Zavaschi, Alessandro L. Koerich, Luiz...