Abstract
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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© 1997 Springer-Verlag Berlin Heidelberg
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Zha, H., Morooka, K., Hasegawa, T. (1997). Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63931-4_214
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DOI: https://doi.org/10.1007/3-540-63931-4_214
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