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» Defining Computational Aesthetics
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114
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CVPR
2009
IEEE
16 years 7 months ago
Learning Trajectory Patterns by Clustering: Experimental Studies and Comparative Evaluation
Recently a large amount of research has been devoted to automatic activity analysis. Typically, activities have been defined by their motion characteristics and represented by t...
Brendan Morris, Mohan M. Trivedi
94
Voted
CVPR
2000
IEEE
16 years 2 months ago
Improving Correlation-Based DEMs by Image Warping and Facade Correlation
We present in this article a system which improves a DEM. The method reconstructs all the facades of the building and then, corrects the initial DEM by deleting the points of the ...
Christophe Vestri, Frederic Devernay
79
Voted
CVPR
2003
IEEE
16 years 2 months ago
Visual Landmarks Detection and Recognition for Mobile Robot Navigation
This article describes visual functions dedicated to the extraction and recognition of planar quadrangles detected from a single camera. Extraction is based on a relaxation scheme...
Frédéric Lerasle, Jean-Bernard Hayet...
CVPR
2005
IEEE
16 years 2 months ago
Analytically Solving Radial Distortion Parameters
Most camera calibration algorithms consider parameters that define the lens distortion mapping. The usual way to determine these parameters is to minimize a nonlinear optimization...
Simone Graf, Tobias Hanning
90
Voted
ICPR
2008
IEEE
16 years 1 months ago
Time-series clustering by approximate prototypes
Clustering time-series data poses problems, which do not exist in traditional clustering in Euclidean space. Specifically, cluster prototype needs to be calculated, where common s...
Pasi Fränti, Pekka Nykänen, Ville Hautam...