Title :
Model based techniques for image registration and three-dimensional scene analysis from image sequences
Author_Institution :
David Sarnoff Res. Center, Princeton, NJ, USA
Abstract :
In order to achieve accurate registration of images of a scene taken from different views, and to obtain accurate estimates of three-dimensional scene structures, it is necessary to obtain accurate displacement fields. However, the accurate estimation of displacement fields requires the use of a-priori constraints on the structure of the displacement field. The paper focuses on techniques that integrate the two problems into a single estimation process, wherein camera motion and projection models are used to constrain the displacement field estimation process, as well as the recovery of three-dimensional structure. A family of progressively complex image displacement models including the 3D affine camera motion and full perspective projection model, and its various approximations and special cases is described. A family of mutually similar techniques suitable for the different models is also described. The discussion emphasizes practical issues with respect to the applicability of the different models and the accuracy and stability of estimation. Results of applying these techniques to different real image scenes is shown
Keywords :
image registration; image sequences; motion estimation; camera motion; displacement fields; estimation process; full perspective projection model; image registration; image sequences; model based techniques; projection models; real image scenes; three-dimensional scene analysis; Cameras; Image analysis; Image motion analysis; Image registration; Image sequences; Layout; Motion estimation; Optical sensors; Parametric statistics; Pixel; Stability;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342477