Real-Time image alignment for a gyro-visual hybrid pointing device

Authors:
Jun Zheng;Minglun Gong
Affiliations:
Memorial University, St. John's, Canada;Memorial University, St. John's, Canada
Venue:
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Year:
2012

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Abstract

This paper presents a novel pointing device that measures pointing location changes using a Nintendo Wiimote and a FireWire camera. The goal is allowing users to control the cursor on a computer screen through waving the device in mid air. The core of the proposed technique is a real-time image alignment module that estimates the pointing location of the device based on visual input. Image alignments are performed using a modified inverse compositional algorithm, which runs at 92 fps on GPUs. To improve the robustness of image alignment results, we propose using gyroscopic measures to provide a rough alignment. The experiment results show that the proposed hybrid pointing device delivers more precise controls than the ones using gyroscopic or visual information only.