Hand-held 3D scanning based on coarse and fine registration of multiple range images

Soon Yong Park, Jaewon Baek, Jaekyoung Moon

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

A hand-held 3D scanning technique is proposed to reconstruct 3D models of real objects. A sequence of range images captured from a hand-held stereo camera is automatically registered to a reference coordinate system. The automated scanning process consists of two states, coarse and fine registration. At the beginning, scanning process starts at the fine registration state. A fast and accurate registration refinement technique is used to align range images in a pair-wise manner. If the refinement technique fails, the process changes to the coarse registration state. A feature-based coarse registration technique is proposed to find correspondences between the last successful frame and the current frame. If the coarse registration successes, the process returns to the fine registration state again. A fast point-to-plane refinement technique is employed to do shape-based registration. After the shape-based alignment, a texture-based refinement technique matches texture features to enhance visual appearance of the reconstructed models. Through a graphic and video display, a human operator adjusts the pose of the camera to change the view of the next acquisition. Experimental results show that 3D models of real objects are reconstructed from sequences of range images.

Original languageEnglish
Pages (from-to)563-579
Number of pages17
JournalMachine Vision and Applications
Volume22
Issue number3
DOIs
StatePublished - May 2011

Keywords

  • Coarse registration
  • Hand-held 3D scanning
  • Multi-view range images
  • Registration refinement

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