Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks. - Info and Reading Options
By Oh, Hyeongseok, Cha, Geonho and Oh, Songhwai
"Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks." and the language of the book is English.
“Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks.” Metadata:
- Title: ➤ Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks.
- Authors: Oh, HyeongseokCha, GeonhoOh, Songhwai
- Language: English
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- Internet Archive ID: pubmed-PMC4004005
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"Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks." Description:
The Internet Archive:
This article is from <a href="//archive.org/search.php?query=journaltitle%3A%28Sensors%20(Basel,%20Switzerland)%29" rel="ugc nofollow">Sensors (Basel, Switzerland)</a>, <a href="//archive.org/search.php?query=journaltitle%3A%28Sensors%20(Basel,%20Switzerland)%29%20AND%20volume%3A%2814%29" rel="ugc nofollow">volume 14</a>.<h2>Abstract</h2>There is a growing interest in 3D content following the recent developments in 3D movies, 3D TVs and 3D smartphones. However, 3D content creation is still dominated by professionals, due to the high cost of 3D motion capture instruments. The availability of a low-cost motion capture system will promote 3D content generation by general users and accelerate the growth of the 3D market. In this paper, we describe the design and implementation of a real-time motion capture system based on a portable low-cost wireless camera sensor network. The proposed system performs motion capture based on the data-driven 3D human pose reconstruction method to reduce the computation time and to improve the 3D reconstruction accuracy. The system can reconstruct accurate 3D full-body poses at 16 frames per second using only eight markers on the subject's body. The performance of the motion capture system is evaluated extensively in experiments.
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"Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks." is available for download from The Internet Archive in "texts" format, the size of the file-s is: 33.40 Mbs, and the file-s went public at Thu Oct 23 2014.
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