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3-dimensional object model construction from range images taken by a range finder on a mobile robot

Norimichi Okada, Hongbin Zha, T. Nagata, Eiji Kondo, Ken’ichi Morooka

Year
2002
Citations
5

Abstract

To construct a 3D model of an object in a computer, a range finder is used to obtain range images of the object. The range finder takes range images from many view points to eliminate the influence of occlusions. A registration algorithm is, then, used to merge the range images. When the range finder is mounted on a mobile robot and measures while moving, range images taken by it will be distorted. We extended the registration algorithm to remove the deformation. The extended algorithm can remove it and is used to construct a 3D model even for a case where the speed parameters of the robot are not well known.

Keywords

Computer visionMerge (version control)Artificial intelligenceComputer scienceRange (aeronautics)Mobile robotRobotConstruct (python library)Object (grammar)Engineering

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