Image conversion parameter calculation device, image conversion parameter calculation method, and program
AssigneeNEC Corporation
InventorShuji Senda
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AssigneeNEC Corporation
InventorShuji Senda
Estimating the term…
An image conversion parameter calculation device accurately calculates a conversion parameter for image alignment with a processing amount that does not depend on the size of an image to be aligned. A pixel selection element randomly selects pixels from a predetermined number or pixels of not more than the predetermined number from a first image. A parameter derivation element derives a conversion parameter by performing processing for pixels selected by the pixel selection element, the conversion parameter being a parameter for converting, to the first image, a second image that is subject to image alignment with the first image.
An image conversion parameter calculation device comprising:
An image conversion parameter calculation device comprising:
An image conversion parameter calculation method comprising:
An image conversion parameter calculation method comprising:
A non-transitory computer readable information recording medium storing an image conversion parameter calculation program, when executed by a processor, performs a method for:
A non-transitory computer readable information recording medium storing an image conversion parameter calculation program, when executed by a processor, performs a method for:
Dependencies are inferred from the claim text.
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Image analysis: determination of transform parameters for the alignment of images, i.e. image registration
Special algorithmic details: hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
Image data processing or generation, in general
About 4 years 7 months of term left · ends 11 Jun 2031 (estimated)
The present invention relates to an image conversion parameter calculation device, an image conversion parameter calculation method, and an image conversion parameter calculation program.
Even when imaging the same object, there is a possibility that the object in the image is displaced due to a displacement in camera position and the like. In such a case, image alignment is performed by converting one image so that the object in the image is at the same location as the object in the other image. Methods for calculating a conversion parameter of conversion effecting such image alignment can be classified into a feature point-based method and a region-based method.
The feature point-based method is a method of extracting feature points from each of the two images subject to the alignment and associating the feature points between the images to calculate the conversion parameter.
FIG. 1 It depicts a block diagram showing an example of an image conversion parameter calculation device in Exemplary Embodiment 1 of the present invention.
FIG. 2 It depicts a flowchart showing an example of processes in Exemplary Embodiment 1.
FIG. 3 It depicts a flowchart showing an example of a process of preprocessing (step S2).
The following describes exemplary embodiments of the present invention with reference to drawings.
Four types of algorithms are available by combining any of the additive algorithm and the compositional algorithm with any of the forward algorithm and the inverse algorithm. Any of these four types of algorithms is applicable to the present invention. The following describes an example where the combination of the compositional algorithm and the inverse algorithm is applied to the present invention. The algorithm that combines the compositional algorithm and the inverse algorithm is hereafter referred to as an inverse compositional algorithm.
FIG. 1 is a block diagram showing an example of an image conversion parameter calculation device in Exemplary Embodiment 1 of the present invention. The following describes an example where an image conversion parameter calculation device 1 according to the present invention stores a template image and calculates a conversion parameter for converting an input image received from outside so that an object in the input image is aligned with the object in the template image. Note, however, that a structure in which the template image is received from outside with the input image is also applicable. In the following description, the template image is also denoted by the symbol T, and the input image by the symbol I.