Title
Virtual Three-Dimensional Blackboard: Three-Dimensional Finger Tracking With A Single Camera
Abstract
We present a method for three-dimensional (3D) tracking of a human finger from a monocular sequence of images. To recover the third dimension from the two-dimensional images, we use the fact that the motion of the human arm is highly constrained owing to the dependencies between elbow and forearm and the physical constraints on joint angles. We use these anthropometric constraints to derive a 3D trajectory of a gesticulating arm. The system is fully automated and does not require human intervention. The system presented can be used as a visualization tool, as a user-input interface, or as part of some gesture-analysis system in which 3D information is important. © 2004 Optical Society of America.
Publication Date
1-10-2004
Publication Title
Applied Optics
Volume
43
Issue
2
Number of Pages
379-390
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1364/AO.43.000379
Copyright Status
Unknown
Socpus ID
0742268530 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0742268530
STARS Citation
Wu, Andrew; Hassan-Shafique, Khurram; Shah, Mubarak; and Da Vitoria Lobo, N., "Virtual Three-Dimensional Blackboard: Three-Dimensional Finger Tracking With A Single Camera" (2004). Scopus Export 2000s. 5321.
https://stars.library.ucf.edu/scopus2000/5321