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» Learning Models for Object Recognition
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ICCV
2009
IEEE
16 years 2 months ago
Context by Region Ancestry
In this paper, we introduce a new approach for modeling visual context. For this purpose, we consider the leaves of a hierarchical segmentation tree as elementary units. Each le...
Joseph J. Lim, Pablo Arbelaez, Chunhui Gu, and Jit...
ICCV
2005
IEEE
15 years 11 months ago
Geometric Context from a Single Image
Many computer vision algorithms limit their performance by ignoring the underlying 3D geometric structure in the image. We show that we can estimate the coarse geometric propertie...
Derek Hoiem, Alexei A. Efros, Martial Hebert
ICIP
2006
IEEE
15 years 11 months ago
A Probabilistic Approach to Robust Shape Matching
We present a probabilistic approach to shape matching which is invariant to rotation, translation and scaling. Shapes are represented by unlabeled point sets, so discontinuous bou...
Graham McNeill, Sethu Vijayakumar
IROS
2006
IEEE
124views Robotics» more  IROS 2006»
15 years 3 months ago
Simulation of Acquisition of Locomotion of an Infant Robot
Abstract— The authors proposed a simulation method to clarify the developmental process of human locomotion using a model of infant robot. The infant robot has many degrees of fr...
Katsuyoshi Tsujita, Tatsuya Masuda
GIR
2006
ACM
15 years 3 months ago
Identifying and grounding descriptions of places
In this paper we test the hypothesis Given a piece of text describing an object or concept our combined disambiguation method can disambiguate whether it is a place and ground it ...
Simon E. Overell, Stefan M. Rüger