Real Time 3D Anaglyph Image Control Using MEMS Sensors


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3-D Imaging refers to a technique for creating or enhancing the illusion of depth in an image by presenting two offset images separately to the left and right eye of the viewer. Anaglyph generation is one of the most cost effective methods of spectroscopic 3D imaging. Almost all human activities are related to some motion. In this paper we discuss about a method to control realtime anaglyph images based on the movement of MEMS inertial sensors. The aim is to track the movements of the sensor and accordingly build a system that controls anaglyph images simultaneously. A system to control anaglyph images using MEMS was developed at the end of experiment successfully. This can be further enhanced to develop various systems based on motion tracking and image creation, like human body modeling and gesture recognition and also to other 3D imaging techniques.



Advanced Materials Research (Volumes 403-408)

Edited by:

Li Yuan




D. P. Kumar and S. Bajaj, "Real Time 3D Anaglyph Image Control Using MEMS Sensors", Advanced Materials Research, Vols. 403-408, pp. 4157-4161, 2012

Online since:

November 2011




[1] Jiahui Wu, Gang Pan, Daqing Zhang, Guande Qi, Shijianli, Gesture Recognition with a 3D Accelerometer, The 6th International Conference on Ubiquitous Intelligence and Computing (UIC'09), Brisbane, Australia, 7-9 July, (2009).


[2] Lementec JC, Bajcsy P. Recognition of Arm Gestures Using Multiple Orientation Sensors: Gesture Classification. In: 7th International IEEE Conference on Intelligent Transportation Systems; (2004).


[3] Data sheet of ADXL345, ADXRS453 by Analog Devices.

[4] NI-845X Software User Manual by National Instruments.

[5] A byte of python by Swaroop CH, Pothi Press.

[6] David Summerhayes: Creating 3D Stereo Chromatic Anaglyphs.

[7] Yaqin Tao, Huosheng Hu, Huiyu Zhou, Integration of Vision and Inertial Sensors for 3D Arm Motion Tracking in Home-based Rehabilitation, The International Journal of Robotics Research June (2007).


[8] Rong Zhu, Zhaoying Zhou, A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package, Neural Systems and Rehabilitation Engineering, IEEE Transactions, June (2004).