Abstract
The Pencil Mouse is a six degrees of freedom input device that uses only a monocular camera. A camera egomotion detection algorithm based on a checker-pattern planar surface and its implementation are described. We have developed a precise and fast method for line search depending on line candidate generation. This method enables the real-time features extraction and parameter estimation of the Pencil Mouse, where the estimated parameters were accurate. On a 266 MHz Pentium II system up to 28 frame per second are evaluated. Mesurements are given.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Logitech Magellan Space Control Mouse. Product Information. Logitech Inc. Fremont, CA. (http://www.logitech.com).
Logitech 3D/6D Mouse. Product Information, Logitech Inc. Fremont, CA. (http://www.logitech.com).
Microsoft IntelliMouse. Product Information. Microsoft Corp. Redmond, WA. (http://www.microsoft.com/products/hardware).
The Rockin’ Mouse: Integral 3D Manipulation on a Plane (http://reality.sgi.com/gordo_tor/papers/rockmouse/)
O. Faugeras. Three Dimensional Computer Vision, a Geometric Viewpoint. The MIT Press, 1996
J.G. Semple and G.T. Kneebone. Algebraic Projective Geometry. Oxford University Press, 1952
Zhengyou Zhang. A Flexible New Technique for Camera Calibration. Technical Report, Microsoft Corp. Redmond, WA., 1998.
R.Y. Tsai. An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision. In Proc. IEEE CVPR., 1986.
O.D. Faugeras and F. Lustman. Motion and Structure from Motion in a Piecewise Planar Environment. International Journal of Pattern Recognition and Artificial Intelligence, pp. 485-507, 1988.
B. Triggs. Autocalibration from Planar Scenes. In Proceedings of the 5th European Conference on Computer Vision, pages 89-105, Freiburg, Germany, June 1998.
R. Hartley. In Defence of the 8-point Algorithm. In Proceedings of the 5th International Conference on Computer Vision, pages 1064-1070, Boston, MA, June 1995. IEE Computer Society Press.
Microsoft Easy Camera Calibration Tool, Microsoft Corp. Redmond, WA. (ftp://ftp.research.microsoft.com/users/easycalib/EasyCalib.zip)
Smith, S.M. and Brady, J.M., A New Approach to Low Level Image Processing, Int. Journal of Computer Vision, pp. 45–78, Vol. 23, May 1997.
Shiu Yin K. Yuena.Connective Hough Transform. British Machine Vision Conference, pp. 127-133, 1991.
C.C. Slamae, editor. Manual of Photogrammetry, Fourth Edition. American Society of Photogrammetry and Remote Sensing, Falls Church, Virginia, USA, 1980.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shdaifat, I., Grigat, RR. (2000). Pencil Mouse: Real-Time Estimation of 6-D Pose, Position, and Motion Parameters from a Monocular Views Using a Fast Line Search. In: Sommer, G., Krüger, N., Perwass, C. (eds) Mustererkennung 2000. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59802-9_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-59802-9_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67886-1
Online ISBN: 978-3-642-59802-9
eBook Packages: Springer Book Archive