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IROS
2006
IEEE

Towards Open-Ended 3D Rotation and Shift Invariant Object Detection for Robot Companions

14 years 5 months ago
Towards Open-Ended 3D Rotation and Shift Invariant Object Detection for Robot Companions
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is hard to predict what objects the robot may face in the operation phase during development. This paper presents ideas and results on two topics. The first topic is on the design of an open-ended object detection system that uses scale invariant feature key-point descriptors that are trained with a one-class radial basis function support vector machine. Unlike using other classifier-based approaches our method does not assume the number classes to be known a priori. The method is shown to be stable against full 3D rotation of the object relative to the sensor. The second issue in this paper deals with a solution on how to provide new object information to the robot. A modern range imaging sensor in conjunction with a conventional color imaging sensor is used for a first figure-background separation. The experim...
Jens Kubacki, Winfried Baum
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where IROS
Authors Jens Kubacki, Winfried Baum
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