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CLOR
2006
14 years 2 months ago
Object Recognition by Combining Appearance and Geometry
We present a new class of statistical models for part-based object recognition. These models are explicitly parametrized according to the degree of spatial structure that they can ...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
CVPR
2011
IEEE
13 years 7 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg
CVPR
2004
IEEE
15 years 23 days ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
ICIP
2008
IEEE
15 years 14 days ago
Appearance-based object detection in colour retinal images
Extraction of anatomical structures (landmarks), such as optic disk (OD), fovea and blood vessels, from fundus images is useful in automatic diagnosis. Current approaches largely ...
Jeetinder Singh, Gopal Datt Joshi, Jayanthi Sivasw...
ECCV
2008
Springer
15 years 19 days ago
Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux
Abstract. This paper proposes a novel curvilinear structure detector, called Optimally Oriented Flux (OOF). OOF finds an optimal axis on which image gradients are projected in orde...
Max W. K. Law, Albert C. S. Chung