Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach

  • Hongbin Zha
  • Ken'ichi Morooka
  • Tsutomu Hasegawa
Poster Session II
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1352)


The paper presents a new method of creating a complete model of a curved object from a sequence of range images acquired by a fixed range finder. A robot arm is used in order to change poses of the object. To accomplish the modeling fast and accurately in an opti-mal manner, we propose a new on-line viewpoint planning algorithm to choose the Next Best Viewpoint (NBV) based on already obtained the partial model.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Hongbin Zha
    • 1
  • Ken'ichi Morooka
    • 1
  • Tsutomu Hasegawa
    • 1
  1. 1.Graduate School of Inf. Sci. & Elec. Eng.Kyushu Univ.FukuokaJapan

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