By Topic

PicoLife: A Computer Vision-based Gesture Recognition and 3D Gaming System for Android Mobile Devices

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Mariappan, M.B. ; Dept. of Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA ; Guo, Xiaohu ; Prabhakaran, Balakrishnan

Pico Life is envisioned to be an augmented reality game in which 3D characters will be controlled by hand gestures on Android smart phones. Pico Life is currently powered by two mobile optimized engines: (1) The computer vision engine that runs our advanced object tracking program for hand tracking and (2) The 3D engine that runs our 3D models for the characters in the game. In the near future, we will be adding yet another mobile optimized engine, namely, the augmented reality engine. In this paper, we will present our work on object tracking and 3D modeling for Pico Life and contrast the performances of the two engines on three different mobile platforms, namely, Texas Instruments' OMAP3630 (Motorola Droid X running Android Gingerbread), Qualcomm's MSM8660 Snapdragon (HTC Evo 3D running Android Gingerbread) and the Texas Instruments' OMAP4430 (Blaze Development platform running Android Gingerbread).

Published in:

Multimedia (ISM), 2011 IEEE International Symposium on

Date of Conference:

5-7 Dec. 2011