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» Growing semantically meaningful models for visual SLAM
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ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
13 years 11 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
IEEECGIV
2009
IEEE
13 years 11 months ago
Surface Mesh Segmentation Using Local Geometry
—We present a novel algorithm to segment a 3D surface mesh into visually meaningful regions. Our approach is based on an analysis of the local geometry of vertices. In particular...
Chansophea Chuon, Sumanta Guha
VL
1994
IEEE
159views Visual Languages» more  VL 1994»
13 years 9 months ago
Interaction in Really Graphical User Interfaces
Employing diagrams in the UI causes problems that don't exist in so called Graphical User Interfaces. We are implementing a tool for generating editors for a certain class of...
Gerhard Viehstaedt, Mark Minas
CVPR
2008
IEEE
14 years 6 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...
RULEML
2010
Springer
13 years 3 months ago
Visualizing Logical Dependencies in SWRL Rule Bases
Rule bases are common in many business rule applications, clinical decision support programs, and other types of intelligent systems. As the size of the rule bases grows and the in...
Saeed Hassanpour, Martin J. O'Connor, Amar K. Das