Automated view and path planning for scalable multi-object 3D scanning

Xinyi Fan, Linguang Zhang, Benedict Brown, Szymon Rusinkiewicz

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


Demand for high-volume 3D scanning of real objects is rapidly growing in a wide range of applications, including online retailing, quality-control for manufacturing, stop motion capture for 3D animation, and archaeological documentation and reconstruction. Although mature technologies exist for high-fidelity 3D model acquisition, deploying them at scale continues to require non-trivial manual labor. We describe a system that allows non-expert users to scan large numbers of physical objects within a reasonable amount of time, and with greater ease. Our system uses novel view- and path-planning algorithms to control a structured-light scanner mounted on a calibrated motorized positioning system. We demonstrate the ability of our prototype to safely, robustly, and automatically acquire 3D models for large collections of small objects.

Original languageEnglish (US)
Article number2980225
JournalACM Transactions on Graphics
Issue number6
StatePublished - Nov 11 2016

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design


  • 3D acquisition
  • view planning


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