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CVPR
2007
IEEE
16 years 15 hour ago
Spatio-temporal Shape and Flow Correlation for Action Recognition
This paper explores the use of volumetric features for action recognition. First, we propose a novel method to correlate spatio-temporal shapes to video clips that have been autom...
Yan Ke, Rahul Sukthankar, Martial Hebert
FGR
2008
IEEE
243views Biometrics» more  FGR 2008»
15 years 4 months ago
Real-time face recognition for human-robot interaction
The ability to recognize people is a key element for improving human-robot interaction in service robots. There are many approaches for face recognition; however, these assume unr...
Claudia Cruz, Luis Enrique Sucar, Eduardo F. Moral...
ICCV
2009
IEEE
14 years 7 months ago
Non-rigid object localization and segmentation using eigenspace representation
This paper presents a novel non-rigid object localization and segmentation algorithm using an eigenspace representation. Previous approaches to eigenspace methods for object track...
Omar Arif, Patricio A. Vela
ICCV
2003
IEEE
15 years 3 months ago
What Does Motion Reveal About Transparency?
The perception of transparent objects from images is known to be a very hard problem in vision. Given a single image, it is difficult to even detect the presence of transparent o...
Moshe Ben-Ezra, Shree K. Nayar
ICCV
2011
IEEE
13 years 10 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang