caa a22 4500 467914486 CHVBK 20180406152858.0 cr unu---uuuuu 170328e20060501xx s 000 0 eng 10.1007/s11263-006-5632-3 doi (NATIONALLICENCE)springer-10.1007/s11263-006-5632-3 Multi-Parameter Simultaneous Estimation on Area-Based Matching [Elektronische Daten] [Masao Shimizu, Masatoshi Okutomi] Area-based matching is a fundamental image processing method that obtains displacement between image regions. In addition, the similarity interpolation method to estimate sub-pixel displacement is commonly used to enhance resolution. This paper proposes a novel 2D sub-pixel displacement estimation method based on similarity interpolation. The method estimates the displacement as an intersection point of two lines, which are approximations of zero positions of the partial derivatives with respect to each motion parameter. The proposed method requires a non-iterative computation. Furthermore, the method engenders only slightly higher calculation costs than the conventional similarity interpolation method. Moreover, the method is suitable for hardware implementation. We show that the proposed method can be extended to obtain the N-parameter of image deformation with non-iterative computation. Using similarity measures obtained at discrete positions in the parameter space, our method provides a highly accurate maximum position of the similarity in sub-sampling resolution; that position corresponds to the image deformation parameters. Experimental results using both synthetic and real images demonstrate that our method can estimate parameters more accurately than conventional methods. Springer Science + Business Media, Inc, 2006 area-based matching nationallicence sub-pixel estimation nationallicence similarity interpolation nationallicence motion parameter nationallicence non-iterative computation nationallicence Shimizu Masao Graduate School of Science and Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, 152-8550, Meguro-ku, Tokyo, Japan aut Okutomi Masatoshi Graduate School of Science and Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, 152-8550, Meguro-ku, Tokyo, Japan aut International Journal of Computer Vision Kluwer Academic Publishers 67/3(2006-05-01), 327-342 0920-5691 67:3<327 2006 67 11263 https://doi.org/10.1007/s11263-006-5632-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-006-5632-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shimizu Masao Graduate School of Science and Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, 152-8550, Meguro-ku, Tokyo, Japan aut NATIONALLICENCE 700 1- Okutomi Masatoshi Graduate School of Science and Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, 152-8550, Meguro-ku, Tokyo, Japan aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 67/3(2006-05-01), 327-342 0920-5691 67:3<327 2006 67 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer