Title
Human Pose Detection Through Searching in 3D Database With 2D Extracted Skeletons
Abstract
With the proliferation of mobile devices, the world is saturated with data captured from these multi-sensor devices. Motion capture data is most commonly used for human figure animation. These data not only help us to create more realistic animation, but they also have been used for artistic purposes. With these data, we can model 3D animations that correspond to a human model. In this paper, we present a new way of comparing images of a human model in a stance to a database of 3D human figure poses. The results in this paper has shown that the new approach is both fast and accurate.
Year
DOI
Venue
2018
10.1109/SSCI.2018.8628776
2018 IEEE Symposium Series on Computational Intelligence (SSCI)
Keywords
Field
DocType
Feature Extraction,Image Comparison,Pose searching,Human Pose Detection,multimedia database
Motion capture,Computational intelligence,Computer science,Mobile device,Animation,Database
Conference
ISBN
Citations 
PageRank 
978-1-5386-9277-6
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Dylan Blok100.34
Jacob Pettigrew200.34
thecla schiphorst336759.16
Herbert H. Tsang49219.08