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» On the design of robust classifiers for computer vision
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GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
13 years 8 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
DAGM
2003
Springer
14 years 25 days ago
A Computational Model of Early Auditory-Visual Integration
We introduce a computational model of sensor fusion based on the topographic representations of a ”two-microphone and one camera” configuration. Our aim is to perform a robust...
Carsten Schauer, Horst-Michael Gross
CVRMED
1997
Springer
13 years 11 months ago
Design considerations for a computer-vision-enabled ophthalmic augmented reality environment
We have initiated studies towards the design and implementation of an ophthalmic augmented reality environment in order to allow for a more precise laser treatment for ophthalmic...
Jeffrey W. Berger, Michael E. Leventon, Nobuhiko H...
CVPR
2009
IEEE
15 years 2 months ago
Recognition using Regions
This paper presents a unified framework for object detection, segmentation, and classification using regions. Region features are appealing in this context because: (1) they enco...
Chunhui Gu, Joseph J. Lim, Pablo Arbelaez, Jitendr...
ICCV
2007
IEEE
14 years 9 months ago
A Study of Face Recognition as People Age
In this paper we study face recognition across ages within a real passport photo verification task. First, we propose using the gradient orientation pyramid for this task. Discard...
Haibin Ling, Stefano Soatto, Narayanan Ramanathan,...