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Open Access Publications from the University of California

Towards Sensor-Aided Multi-View Reconstruction for High Accuracy Applications

  • Author(s): Shashkov, Misha;
  • Hess-Flores, Mauricio;
  • Recker, Shawn;
  • Joy, Kenneth I.
  • et al.

We present the general idea of a computer vision structure-from-motion framework that makes use of sensor fusion to provide very accurate and efficient multi-view reconstruction results that can capture internal geometry. Given the increased ubiquity and cost-effectiveness of embedding sensors, such as positional sensors, into objects, it has become feasible to fuse such sensor data and camera-acquired data to vastly improve reconstruction quality and enable a number of novel applications for structure-from-motion. Application areas, which require very high accuracy, include medicine, robotics, security, and additive manufacturing (3D printing). Specific examples and initial results are discussed, followed by a discussion on proposed future work.

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