An image evaluation method, including: obtaining a test image including a first lattice pattern formed by image edges; aligning the test image using the image edges to generate an aligned image including a second lattice pattern formed by aligned image edges; generating a compressed image by compressing the aligned image; and generating a quantified result by quantifying a per-pixel difference between the compressed image and the aligned image.

An image evaluation method, including: obtaining a test image including a first lattice pattern formed by image edges; aligning the test image using the image edges to generate an aligned image including a second lattice pattern formed by aligned image edges; generating a compressed image by compressing the aligned image; and generating a quantified result by quantifying a per-pixel difference between the compressed image and the aligned image.

A method for image processing includes: receiving a third two-dimensional image and a depth image corresponding to the third two-dimensional image, wherein the third two-dimensional image and the depth image include a face; establishing a three-dimensional model of the face according to the depth image; rotating the three-dimensional model of the face by a first angle; projecting the three-dimensional model of the face rotated by the first angle to an image coordinate system of the third two-dimensional image; and building a three-dimensional model of a background region of the third two-dimensional image, processing a background region of an image projected to the image coordinate system of the third two-dimensional image to obtain a fourth image.

A method for image processing includes: receiving a third two-dimensional image and a depth image corresponding to the third two-dimensional image, wherein the third two-dimensional image and the depth image include a face; establishing a three-dimensional model of the face according to the depth image; rotating the three-dimensional model of the face by a first angle; projecting the three-dimensional model of the face rotated by the first angle to an image coordinate system of the third two-dimensional image; and building a three-dimensional model of a background region of the third two-dimensional image, processing a background region of an image projected to the image coordinate system of the third two-dimensional image to obtain a fourth image.

An image matching device that performs matching between a first image and a second image includes: a frequency characteristic acquisition unit configured to acquire a frequency characteristic of the first image and a frequency characteristic of the second image; a frequency characteristic synthesizing unit configured to synthesize the frequency characteristic of the first image and the frequency characteristic of the second image to generate a synthesized frequency characteristic; a determination unit configured to perform frequency transformation on the synthesized frequency characteristic to calculate a correlation coefficient map whose resolution coincides with a target resolution, and perform matching between the first image and the second image based on a matching score calculated from the correlation coefficient map; and a regulation unit configured to regulate the target resolution based on the matching score.

A calculation method for causing a computer to execute processing of: acquiring first measurement information including information of a distance to an object measured by a first sensor, and second measurement information including information of a distance to the object measured by a second sensor; acquiring a first vector, a second vector in a different direction from the first vector, and a first translation point from the first measurement information; acquiring information of a third vector treated as a vector parallel to and in a same direction as the first vector, a fourth vector treated as a vector parallel to and in a same direction as the second vector, and a second translation point treated as a same position as the first translation point from the second measurement information; calculating a rotation angle and a translation distance for aligning a point group of the object measured by the second sensor.

A calculation method for causing a computer to execute processing of: acquiring first measurement information including information of a distance to an object measured by a first sensor, and second measurement information including information of a distance to the object measured by a second sensor; acquiring a first vector, a second vector in a different direction from the first vector, and a first translation point from the first measurement information; acquiring information of a third vector treated as a vector parallel to and in a same direction as the first vector, a fourth vector treated as a vector parallel to and in a same direction as the second vector, and a second translation point treated as a same position as the first translation point from the second measurement information; calculating a rotation angle and a translation distance for aligning a point group of the object measured by the second sensor.

An individual identification system includes an acquiring means and a determining means. The acquiring means is configured to acquire a matched image obtained by shooting part of a predetermined region of a matching target object. The determining means is configured to calculate a score representing a degree to which a partial image similar to the matched image exists in a registration image obtained by shooting a predetermined region of a registration target object, and determine based on the score whether or not the matching target object is identical to the registration target object.

An individual identification system includes an acquiring means and a determining means. The acquiring means is configured to acquire a matched image obtained by shooting part of a predetermined region of a matching target object. The determining means is configured to calculate a score representing a degree to which a partial image similar to the matched image exists in a registration image obtained by shooting a predetermined region of a registration target object, and determine based on the score whether or not the matching target object is identical to the registration target object.

Some embodiments are directed to image registration. A rotation angle is determined and subsequently a translation vector. The rotation angle and translation vector together defining an alignment transformation between a first image and a second image. Determining the rotation angle may include iterating over multiple potential rotation angles, and determining alignment.