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» Shape Matching for Robot Mapping
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DGCI
2003
Springer
15 years 2 months ago
Shape Similarity and Visual Parts
Abstract. Human perception of shape is based on visual parts of objects to a point that a single, significant visual part is sufficient to recognize the whole object. For example,...
Longin Jan Latecki, Rolf Lakämper, Diedrich W...
95
Voted
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
15 years 3 months ago
New Multi-baseline Stereo by Counting Interest Points
This paper proposes a novel method for estimating depth from a long image sequence captured by a moving camera. Our idea for estimating a depth map is very simple; only counting i...
Tomokazu Sato, Naokazu Yokoya
IROS
2007
IEEE
129views Robotics» more  IROS 2007»
15 years 3 months ago
Experience-based and tactile-driven dynamic grasp control
— Algorithms for dextrous robot grasping always have to cope with the challenge of achieving high object specialisation for a wide range of grasping contexts. In this paper, we p...
Jan Steffen, Robert Haschke, Helge Ritter
74
Voted
IROS
2006
IEEE
145views Robotics» more  IROS 2006»
15 years 3 months ago
An Automatic Approach to Online Color Training in RoboCup Environments
— Many approaches for extracting landmarks and objects from a camera image based on their color coding were published in the RoboCup domain. They are quite sophisticated and tune...
Patrick Heinemann, Frank Sehnke, Felix Streichert,...
ICRA
1999
IEEE
155views Robotics» more  ICRA 1999»
15 years 1 months ago
3-D Cueing: A Data Filter for Object Recognition
This paper presents a novel method for quickly filtering range data points to make object recognition in large 3D data sets feasible. The general approach, called "3D cueing,...
Owen T. Carmichael, Martial Hebert