Analysis of the 3D trajectory of absolute motion of an object using a motionless monocular camera

Based on the triangulation method, the 3D motion of an object can be completely recognized by a stereo camera. However, the question whether or not the 3D motion of an object can be completely recognized by a motionless / fixed monocular camera is the yet-unanswered question. In this paper we propose a method using a motionless monocular camera of which the focus is changed in cycle to recognize the absolute 3D motion of an object. We name the method motion from focus.

[1]  Shree K. Nayar,et al.  Motion deblurring using hybrid imaging , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[2]  Nobuyuki Ohya,et al.  A new, compact and quick-response dynamic focusing lens , 1997, Proceedings of International Solid State Sensors and Actuators Conference (Transducers '97).

[3]  Frederick J. Beutler,et al.  Sampling Theorems and Bases in a Hilbert Space , 1961, Inf. Control..

[4]  Shree K. Nayar,et al.  Real-Time Focus Range Sensor , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Richard H. Sherman,et al.  Chaotic communications in the presence of noise , 1993, Optics & Photonics.

[6]  Michel Dhome,et al.  Three-dimensional reconstruction by zooming , 1993, IEEE Trans. Robotics Autom..

[7]  H. C. Longuet-Higgins,et al.  A computer algorithm for reconstructing a scene from two projections , 1981, Nature.

[8]  Thomas S. Huang,et al.  Motion and structure from feature correspondences: a review , 1994, Proc. IEEE.

[9]  Shree K. Nayar,et al.  Minimal operator set for passive depth from defocus , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[10]  S. M. Steve SUSAN - a new approach to low level image processing , 1997 .

[11]  Tae-Sun Choi,et al.  Focusing techniques , 1992, Other Conferences.