Automated View and Path Planning for Scalable Multi-Object 3D Scanning

摘要

Demand for high-volume 3D scanning of real objects is rapidlyrngrowing in a wide range of applications, including online retailing,rnquality-control for manufacturing, stop motion capture for 3D animation,rnand archaeological documentation and reconstruction. Althoughrnmature technologies exist for high-fidelity 3D model acquisition,rndeploying them at scale continues to require non-trivial manualrnlabor. We describe a system that allows non-expert users to scanrnlarge numbers of physical objects within a reasonable amount ofrntime, and with greater ease. Our system uses novel view- and pathplanningrnalgorithms to control a structured-light scanner mountedrnon a calibrated motorized positioning system. We demonstrate thernability of our prototype to safely, robustly, and automatically acquirern3D models for large collections of small objects.