Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).
NIST Authors in Bold
|Author(s):||Afzal A. Godil; Chunyuan Li;|
|Title:||SHREC 2014 track on automatic location of landmarks used in manual anthropometry|
|Published:||June 12, 2014|
|Abstract:||In this paper we report the results of the SHREC 2014 track on automatic location of landmarks used in manual anthropometry. The track has been organized to test the ability of modern computational geometry/pattern recognition techniques to locate accurately reference points used for tape-based measurement. Participants had to locate six specific landmarks on human models acquired with a structured light body scanner. A training set of 50 models with manual annotations of the corresponding landmarks location was provided to train the algorithms. A test set of 50 different models was also provided, without annotations. Accuracy of the automatic location methods was tested computing geodesic distances of the detected points from manually placed ones and evaluating different quality scores and functions.|
|Conference:||Co-event of the 35rd Annual Conference of the European Association for Computer Graphics (Eurographics 2014).|
|Proceedings:||The Seventh Eurographics Workshop on 3D Object Retrieval (3DOR 2014)|
|Dates:||April 6, 2014|
|Keywords:||location of landmarks, anthropometry, evaluation, Benchmarking|
|Research Areas:||Information Technology, Information Processing Systems, Information Delivery Systems, Imaging|
|PDF version:||Click here to retrieve PDF version of paper (643KB)|