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ECCV
2004
Springer
15 years 11 months ago
Recognizing Objects in Range Data Using Regional Point Descriptors
Recognition of three dimensional (3D) objects in noisy and cluttered scenes is a challenging problem in 3D computer vision. One approach that has been successful in past research i...
Andrea Frome, Daniel Huber, Ravi Kolluri, Thomas B...
ICCV
2007
IEEE
15 years 11 months ago
3D object recognition from range images using pyramid matching
Recognition of 3D objects from different viewpoints is a difficult problem. In this paper, we propose a new method to recognize 3D range images by matching local surface descripto...
Xinju Li, Igor Guskov
MVA
1990
137views Computer Vision» more  MVA 1990»
14 years 10 months ago
Relaxation Based Modeling and Recognition of 3D Surfaces from Range Data
Modeling and recognition of 3D objects by surface is an important problem in machine vision. Given a large number of range data points of an object surface, we present a relaxatio...
Chang Y. Choo, Nasser M. Nasrabadi, William I. Kwa...
ICRA
2010
IEEE
267views Robotics» more  ICRA 2010»
14 years 8 months ago
FLIRT - Interest regions for 2D range data
— Local image features are used for a wide range of applications in computer vision and range imaging. While there is a great variety of detector-descriptor combinations for imag...
Gian Diego Tipaldi, Kai Oliver Arras
JMIV
2000
125views more  JMIV 2000»
14 years 9 months ago
Recognizing 3D Objects Using Tactile Sensing and Curve Invariants
A general paradigm for recognizing 3D objects is offered, and applied to some geometric primitives (spheres, cylinders, cones, and tori). The assumption is that a curve on the surf...
Daniel Keren, Ehud Rivlin, Ilan Shimshoni, Isaac W...