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» A probabilistic framework for image segmentation
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ICRA
2007
IEEE
170views Robotics» more  ICRA 2007»
14 years 2 months ago
Space-time A Contrario Clustering for Detecting Coherent Motions
Abstract— This paper presents a method for detecting independent temporally-persistent motion patterns in image sequences. The result is a description of the dynamic content of a...
Thomas Veit, Frédéric Cao, Patrick B...
ICCV
2005
IEEE
14 years 1 months ago
Learning Non-Generative Grammatical Models for Document Analysis
— We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...
Michael Shilman, Percy Liang, Paul A. Viola
SCALESPACE
2005
Springer
14 years 1 months ago
Multiscale Active Contours
Abstract. In this paper, we propose an evolution equation for the active contours in scale spaces. This evolution equation is based on the Polyakov functional that has been first ...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
CVPR
2010
IEEE
14 years 3 days ago
Refinement of Digital Elevation Models from Shadowing Cues
In this paper we derive formal constraints relating terrain elevation and observed cast shadows. We show how an optimisation framework can be used to refine surface estimates usin...
James Hogan, William Smith

Book
5396views
15 years 6 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li