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» Local shape features for object recognition
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ICPR
2008
IEEE
15 years 10 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
ICRA
2007
IEEE
170views Robotics» more  ICRA 2007»
15 years 3 months ago
Space-time A Contrario Clustering for Detecting Coherent Motions
Abstract— This paper presents a method for detecting independent temporally-persistent motion patterns in image sequences. The result is a description of the dynamic content of a...
Thomas Veit, Frédéric Cao, Patrick B...
BMCBI
2008
170views more  BMCBI 2008»
14 years 9 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini
79
Voted
ECCV
2004
Springer
15 years 11 months ago
Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...
Bill Triggs
ICPR
2004
IEEE
15 years 10 months ago
Detection of Artificial Structures in Natural-Scene Images Using Dynamic Trees
We seek a framework that addresses localization, detection and recognition of man-made objects in natural-scene images in a unified manner. We propose to model artificial structur...
Michael C. Nechyba, Sinisa Todorovic