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» Learning epipolar geometry from image sequences
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CVPR
2012
IEEE
11 years 10 months ago
Video from nearly still: An application to low frame-rate gait recognition
In this paper, we propose a temporal super resolution approach for quasi-periodic image sequence such as human gait. The proposed method effectively combines examplebased and reco...
Naoki Akae, Al Mansur, Yasushi Makihara, Yasushi Y...
SCVMA
2004
Springer
14 years 1 months ago
Structure from Periodic Motion
Abstract. We show how to exploit temporal periodicity of moving objects to perform 3D reconstruction. The collection of period-separated frames serve as a surrogate for multiple ri...
Serge J. Belongie, Josh Wills
BMVC
2002
13 years 10 months ago
Detecting Planes In An Uncalibrated Image Pair
Plane detection is a prerequisite to a wide variety of vision tasks. This paper proposes a novel method that exploits results from projective geometry to automatically detect plan...
Manolis I. A. Lourakis, Antonis A. Argyros, Stelio...
IJCNN
2000
IEEE
13 years 11 months ago
People Recognition and Pose Estimation in Image Sequences
This paper presents a system which learns from examples to automatically recognize people and estimate their poses in image sequences with the potential application to daily surve...
Chikahito Nakajima, Massimiliano Pontil, Tomaso Po...
ACCV
1998
Springer
13 years 12 months ago
Learning Multiscale Image Models of 2D Object Classes
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...
Benoit Perrin, Narendra Ahuja, Narayan Srinivasa