Hand Motion and Image Stabilization in Hand-held Devices

The mobile imaging market is a rapidly developing market, and has outgrown the traditional imaging market. This market is dominated by CMOS sensors, with pixels getting small and smaller. As pixel size is reduced, the sensitivity is lowered and must be compensated by longer exposure times. However, in the mobile market, this amount to increased motion blur. We characterize the hand motion with a typical shooting scenario. This data can be used to create an evaluation procedure for image stabilization solutions, and we indeed present one such procedure.

[1]  Andrew Zisserman,et al.  Multiple View Geometry in Computer Vision (2nd ed) , 2003 .

[2]  Feng Xiao,et al.  Psychophysical thresholds and digital camera sensitivity: the thousand-photon limit , 2005, IS&T/SPIE Electronic Imaging.

[3]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[4]  F. Xiao.  Camera-Motion and Effective Spatial Resolution , 2006 .

[5]  Feng Xiao,et al.  Resolution and light sensitivity tradeoff with pixel size , 2006, Electronic Imaging.

[6]  C. Riviere,et al.  Characteristics of hand motion of eye surgeons , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

[7]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.