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» Segmentation as Selective Search for Object Recognition
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ICDAR
2003
IEEE
14 years 1 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
CEC
2009
IEEE
14 years 3 months ago
Evolutionary image segmentation based on multiobjective clustering
— In the fields of image processing and recognition, image segmentation is an important basic technique in which an image is partitioned into multiple regions (sets of pixels). ...
Shinichi Shirakawa, Tomoharu Nagao
ICIP
2004
IEEE
14 years 10 months ago
Object recognition based on binary partition trees
This paper presents an object recognition method that exploits the representation of the images obtained by means of a Binary Partition Tree (BPT). The shape matching technique in...
Oreste Salerno, Montse Pardàs, Verón...
WACV
2005
IEEE
14 years 2 months ago
3D Recognition and Segmentation of Objects in Cluttered Scenes
In this paper we present a novel view point independent range image segmentation and recognition approach. We generate a library of 3D models off-line and represent each model wit...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
ECCV
1992
Springer
14 years 19 days ago
Data and Model-Driven Selection using Color Regions
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper w...
Tanveer Fathima Syeda-Mahmood