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TitleTowards Sensor-Aided Multi-View Reconstruction for High Accuracy Applications (In Proceedings)
inThe Sixth International Conference on Creative Content Technologies (CONTENT 2014)
Author(s) Misha Shashkov, Mauricio Hess-Flores, Shawn Recker, Kenneth I. Joy
Keyword(s)sensor fusion; embedded sensors; multi-view reconstruction; structure-from-motion; Kinect.
Year May 2014
LocationVenice, Italy
DateMay 25-29, 2014
URLhttp://www.thinkmind.org/download.php?articleid=content_2014_3_40_60050
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Abstract 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.