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ICCV
2007
IEEE
16 years 6 months ago
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...
IROS
2009
IEEE
161views Robotics» more  IROS 2009»
15 years 10 months ago
Accurate shape-based 6-DoF pose estimation of single-colored objects
— The problem of accurate 6-DoF pose estimation of 3D objects based on their shape has so far been solved only for specific object geometries. Edge-based recognition and trackin...
Pedram Azad, Tamim Asfour, Rüdiger Dillmann
CVPR
1998
IEEE
16 years 6 months ago
The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
Michael A. Greenspan
SSDBM
2010
IEEE
117views Database» more  SSDBM 2010»
15 years 9 months ago
Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology
With the growing focus on semantic searches and interpretations, an increasing number of standardized vocabularies and ontologies are being designed and used to describe data. We ...
Arnab Bhattacharya, Abhishek Bhowmick, Ambuj K. Si...
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 8 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague