Abstract
The development of commodity depth camera such as Kinect has paved the way for low-cost human body measurement. The existing Kinect-based body measurement methods are too time-consuming since their purposes also include 3D reconstruction. In this paper, we present a Kinect-based simple but fast and effective solution that is tailored only for human body measurement. In particular, our method captures four views of a subject body and constructs a 3D point cloud for each view. The point clouds are then registered and merged to have a full body cloud on which the body measurements are estimated automatically. The experimental results show that our method requires much shorter execution time than the previous works while still producing measurements with comparable quality.
Original language | English |
---|---|
Title of host publication | 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, (APSIPA 2014) |
Editors | Kosin Chamnongthai, C.-C. Jay Kuo, Hitoshi Kiya |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Number of pages | 4 |
ISBN (Electronic) | 9786163618238, 9781479942503 |
DOIs | |
Publication status | Published - 2015 |
Externally published | Yes |
Event | Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2014 - Chiang Mai, Thailand Duration: 9 Dec 2014 → 12 Dec 2014 https://ieeexplore.ieee.org/xpl/conhome/7016284/proceeding (Proceedings) |
Conference
Conference | Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2014 |
---|---|
Abbreviated title | APSIPA ASC 2014 |
Country/Territory | Thailand |
City | Chiang Mai |
Period | 9/12/14 → 12/12/14 |
Internet address |