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