|Title||Towards Sensor-Aided Multi-View Reconstruction for High Accuracy Applications
(In Proceedings) |
|in||The Sixth International Conference on Creative Content Technologies (CONTENT 2014)|
Misha Shashkov, Mauricio Hess-Flores, Shawn Recker, Kenneth I. Joy |
|Keyword(s)||sensor fusion; embedded sensors; multi-view reconstruction; structure-from-motion; Kinect.|
|Date||May 25-29, 2014|
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.