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» Minimal solutions for generic imaging models
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ICCV
2005
IEEE
14 years 9 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
IJCV
2000
121views more  IJCV 2000»
13 years 7 months ago
Regularized Bundle-Adjustment to Model Heads from Image Sequences without Calibration Data
We address the structure-from-motionproblem in the context of head modeling from video sequences for which calibration data is not available. This task is made challenging by the ...
Pascal Fua
CP
1997
Springer
13 years 11 months ago
GENIUS-CP: a Generic Single-Vehicle Routing Algorithm
This paper describes the combination of a well-known tsp heuristic, genius, with a constraint programming model for routing problems. The result, genius-cp, is an e cient heuristic...
Gilles Pesant, Michel Gendreau, Jean-Marc Rousseau
CVIU
2006
169views more  CVIU 2006»
13 years 7 months ago
A generic structure-from-motion framework
We introduce a generic structure-from-motion approach based on a previously introduced, highly general imaging model, where cameras are modeled as possibly unconstrained sets of p...
Srikumar Ramalingam, Suresh K. Lodha, Peter F. Stu...
SIAMIS
2010
167views more  SIAMIS 2010»
13 years 2 months ago
Global Solutions of Variational Models with Convex Regularization
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...