Paper Info
Title
Head pose 3D data web-based visualization
Abstract
An approach build on discriminative random regression forests was followed in order to achieve fast, accurate and reliable estimation of head pose in uncontrolled environment. Data representing the changes of a person's head direction, concerning two Degrees of Freedom (DOF), pitch and yaw, are collected and stored adopting a lightweight data exchange format (JavaScript Object Notation-JSON). After that, a web visualization approach is proposed in order to improve the understanding and the analysis of the captured 3D data.
Year
DOI
Venue
2015
10.1145/2775292.2778304
3D technologies for the World Wide Web
Keywords
Field
DocType
Head Pose Estimation, Web-based Data Visualization, Data Compilation, Kinect
Computer vision,Data exchange,Computer graphics (images),Computer science,Visualization,Data Web,Web visualization,Artificial intelligence,Discriminative model,JavaScript
Conference
Citations 
PageRank 
References 
2
0.38
3
Authors
3
Name
Order
Citations
PageRank
Grigorios Kalliatakis1124.95
Georgios Triantafyllidis2518.38
Nikolaos Vidakis332.08