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Hong-Tan based ICP registration for partially overlapping range images

Published: 11 December 2011 Publication History

Abstract

Automatic registration of partially overlapping range images is the core issue of various 3D laser scanning based reconstruction systems. Inspired by the use of twist to parameterize rigid motion in Hong-Tan workpiece localization algorithm, we present Hong-Tan based ICP (Iterated Closest Point) automatic registration algorithm (HT-ICP) for partially overlapping range images. Using the range images from Stanford 3D Scanning Repository, we compare HT-ICP with the original ICP algorithm and its main variants, and experimental results show that the HT-ICP algorithm can improve both the accuracy and speed of registration. Based on a mesh error measure tool, we measure the error between reconstruction result and benchmark, and experimental results demonstrate that HT-ICP algorithm is sufficient for practical 3D reconstruction applications in industry.

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Cited By

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  • (2015)Filling holes in digitized point cloud using a morphing-based approach to preserve volume characteristicsThe International Journal of Advanced Manufacturing Technology10.1007/s00170-015-7185-081:1-4(411-421)Online publication date: 9-May-2015
  • (2013)3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithmOptics & Laser Technology10.1016/j.optlastec.2012.06.01545(414-423)Online publication date: Feb-2013

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      cover image ACM Conferences
      VRCAI '11: Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
      December 2011
      617 pages
      ISBN:9781450310604
      DOI:10.1145/2087756
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 11 December 2011

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      Author Tags

      1. 3D laser scanning system
      2. Hong-Tan workpiece localization algorithm
      3. ICP
      4. twist

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      View all
      • (2015)Filling holes in digitized point cloud using a morphing-based approach to preserve volume characteristicsThe International Journal of Advanced Manufacturing Technology10.1007/s00170-015-7185-081:1-4(411-421)Online publication date: 9-May-2015
      • (2013)3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithmOptics & Laser Technology10.1016/j.optlastec.2012.06.01545(414-423)Online publication date: Feb-2013

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