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» A Generative Model Based Approach to Motion Segmentation
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MASCOTS
2010
13 years 9 months ago
On the Universal Generation of Mobility Models
Mobility models have traditionally been tailored to specific application domains such as human, military, or ad hoc transportation scenarios. This tailored approach often renders a...
Alberto Medina, Gonca Gursun, Prithwish Basu, Ibra...
WSCG
2003
193views more  WSCG 2003»
13 years 9 months ago
Automatically Generating Roof Models from Building Footprints
Modelling Large Urban Environments using traditional modelling techniques would prove too time consuming a process. Consequently a method is required for generating large urban en...
R. G. Laycock, A. M. Day
JMIV
2008
142views more  JMIV 2008»
13 years 7 months ago
Camera Motion Estimation Through Planar Deformation Determination
In this paper, we propose a global method for estimating the motion of a camera which films a static scene. Our approach is direct, fast and robust, and deals with adjacent frames...
Claire Jonchery, Françoise Dibos, Georges K...
ICML
2007
IEEE
14 years 9 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
ICASSP
2010
IEEE
13 years 8 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams