Paper
12 March 2013 3D hand localization by low-cost webcams
Cheng-Yuan Ko, Chung-Te Li, Chen-Han Chung, Liang-Gee Chen
Author Affiliations +
Proceedings Volume 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013; 86500W (2013) https://doi.org/10.1117/12.2003115
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
Abstract
In recent years, depth sensors, such as Kinect provides new opportunities for Human-Computer Interaction (HCI). However, for more universalization of depth sensors in consumer electronics, the cost of the sensors should be considered. In this paper, we proposed an algorithm for 3D hand localization by two commodity low cost webcams. Because of the noise produced by the low cost webcams, the depth quality is not very good. Ac-cording to the poor quality depth map, our algorithm can still to do the 3D hand localization. The proposed algorithm can provides 3D hand localization information for applications, such as interactive 3DTV.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cheng-Yuan Ko, Chung-Te Li, Chen-Han Chung, and Liang-Gee Chen "3D hand localization by low-cost webcams", Proc. SPIE 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013, 86500W (12 March 2013); https://doi.org/10.1117/12.2003115
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Calibration

Cameras

Human-computer interaction

Sensors

Facial recognition systems

Imaging systems

3D image processing

Back to Top