摘要:
In consideration of N-dimensional similarity, a multiparameter high precision concurrent estimation method and a multiparameter high precision concurrent estimation program in image subpixel matching, which can estimate a correspondence parameter between images precisely, concurrently, and stably with a small amount of computation at high speed.The method comprises the steps of: determining a sub-sampling position where the N-dimensional similarity value between images obtained at discrete positions is maximum or minimum on a line in parallel with a certain parameter axis, and determining an N-dimensional hyperplane that most approximates the determined sub-sampling position; determining N of the N-dimensional hyperplanes with respect to each parameter axis; determining an intersection point of N of the N-dimensional hyperplanes; and setting the intersection point as a sub-sampling grid estimation position for the correspondence parameter between images that gives a maximum value or a minimum value of N-dimensional similarity in the N-dimensional similarity space.
摘要:
The present invention provides a region-selection-based image registration method for estimating motions between an image of interest in an image sequence and a reference image in the image sequence which can be applied to the registration of the object having every geometry and by which the high-precision image registration with robustness to illumination variation and occlusion can be conducted.An image registration method for conducting a high-precision image registration between a reference image in an image sequence capturing an object and an image of interest in said image sequence, the method characterized in that a predetermined region on the reference image is set as a region of interest, when conducting the high-precision image registration, a motion parameter is estimated based on pixels of a mask image representing a region where the registration is performed precisely by a predetermined transformation within the region of interest that is set. The mask image is generated by utilizing the similarity evaluation between images.
摘要:
The present invention provides a pixel mixture method for mixing multiple pixels in a high-pixel solid-state image sensing device capable of obtaining a high-definition image while reducing the number of the readout pixels in an imaging device having the high-pixel solid-state image sensing device with a color filter array (CFA).A pixel mixture method for mixing several pixels on a solid-state image sensing device, which is applied to an imaging device having the solid-state image sensing device with a color filter array (CFA) and multiple pixels, comprising: a pixel mixture operating step for performing a pixel mixture operation based on a pixel mixture operation equation for the several pixels that are adjacent spatially; a color conversion matrix generating step for generating a color conversion matrix based on the kind of colors of a color space after mixture and the pixel mixture operation equation; and a desired color space converting step for converting the color space after mixture into a desired color space based on the generated color conversion matrix.