Practical Structure and Motion from Stereo When Motion is Unconstrained
International Journal of Computer Vision
The pebbles project: using PCs and hand-held computers together
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Comparison of Approaches to Egomotion Computation
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Real-Time Hybrid Pose Estimation from Vision and Inertial Data
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
A Vision-Based Approach for Controlling User Interfaces of Mobile Devices
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Large document, small screen: a camera driven scroll and zoom control for mobile devices
Proceedings of the 2008 symposium on Interactive 3D graphics and games
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In this paper we present an efficient motion estimation algorithm for camera-enabled handheld devices, such as mobile phones and PDAs. Compared to general camera motion estimation, the estimation of ego-motion of handheld devices presents unique challenges because most devices are limited in resources (processing power, memory and battery). The algorithm must be lightweight so it can be efficiently embedded and run fast enough to produce smooth seamless translation. Our solution includes a multi-resolution scheme which searches the match from coarse to fine; and optimization of the search space. As a demonstration, we implemented the algorithm on the Symbian based Nokia 3650/6600 camera phone, and explored several interesting applications, including using camera motion for browsing documents and as a pointing device. A cross-platform implementation is also discussed.