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CORR
2010
Springer
67views Education» more  CORR 2010»
15 years 6 months ago
From granular avalanches to fluid turbulences through oozing pastes. A mesoscopic physically-based particle model
In this paper, we describe how we can precisely produce complex and various dynamic morphological features such as structured and chaotic features which occur in sand pilings (pil...
Annie Luciani
IJCV
2008
106views more  IJCV 2008»
15 years 6 months ago
A Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences
Given an image sequence of a scene consisting of multiple rigidly moving objects, multi-body structure-and-motion (MSaM) is the task to segment the image feature tracks into the d...
Konrad Schindler, David Suter, Hanzi Wang
ICCV
1999
IEEE
16 years 8 months ago
Using Model-Driven Bundle-Adjustment to Model Heads from Raw Video Sequences
We show that we can effectively and automatically fit a complex facial animation model to uncalibrated image sequences. Our approach is based on model-driven bundleadjustment foll...
Pascal Fua
ACL
1998
15 years 8 months ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi
ICDAR
2007
IEEE
16 years 29 days ago
A Shared Parts Model for Document Image Recognition
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...
M. Das Gupta, P. Sarkar