Abstract: A non-transitory computer-readable storage medium storing an image identification program that causes at least one computer to execute a process, the process includes acquiring a three-dimensional partial area of a certain size from three-dimensional volume data generated based on a plurality of tomographic images obtained by imaging an inside of a human body; generating a plurality of projection images by performing extreme intensity projection on each voxel value of the partial area in a plurality of mutually orthogonal directions; and specifying one state of the partial area among a plurality of states based on the plurality of projection images.

Abstract: A processor detects feature lines from an image of an object and generates projection lines by projecting line segments in shape information of the object on the image. The processor generates combinations each including a feature line and a projection line and generates plural sets each including a specific number of combinations. The processor uses each set to estimate a position and an orientation of an imaging device that has captured the image, and evaluates a result of the estimation for each set. When there is a change in a relative position or orientation between the object on the image and a shape represented by the shape information, the processor repeats generation of the plural sets, estimation of the position and the orientation of the imaging device and evaluation of the estimation result. The processor determines the position and the orientation of the imaging device based on the repeated evaluation.

Abstract: An inspection apparatus includes a memory for storing shape information including a plurality of line segments representing a shape of an object; and a processor coupled to the memory and the processor that detects a plurality of feature lines from an image of the object, generates a plurality of combinations obtained by correlating each of the plurality of line segments and each of the plurality of feature lines with each other, generates a plurality of projection lines by projecting each of the plurality of line segments onto the image, sets a threshold value with respect to an error between a position of the projection lines and a position of the feature lines of the line segments included in each of the plurality of combinations based on a statistical value of the error, and classifies the plurality of combinations using the threshold value.

Abstract: An estimation apparatus is configured to obtain shape information containing information about multiple line segments that depict a shape of an object; detect multiple feature lines in an image of the object captured by an imaging apparatus; receive a first instruction for associating a feature line selected from the multiple feature lines with a line segment selected from the multiple line segments and a second instruction for associating two points selected in the image with two end points selected from end points of the multiple line segments; generate a first line segment connecting the two points and a second line segment connecting the two end points; and estimate a position and orientation of the imaging apparatus in three-dimensional space by using a combination of the selected feature line and the selected line segment and a combination of the first line segment and the second line segment.

Abstract: An estimation device includes a processor coupled to a memory and configured to detect a plurality of feature lines from an image of the object photographed by an imaging device, generate a plurality of sets of a predetermined number of line segments among the plurality of line segments, select a set to be processed from among the plurality of sets based on a length-first selection order in which a line segment that is longer than other line segments is preferentially selected, generate the predetermined number of combinations in which the predetermined number of line segments included in the set to be processed and the predetermined number of feature lines among the plurality of feature lines are associated with each other on a one-to-one basis, and estimate a position and a orientation of the imaging device in a three-dimensional space using the predetermined number of combinations.

Abstract: A processor detects feature lines from an image of an object and generates projection lines by projecting line segments in shape information of the object on the image. The processor generates combinations each including a feature line and a projection line and generates plural sets each including a specific number of combinations. The processor uses each set to estimate a position and an orientation of an imaging device that has captured the image, and evaluates a result of the estimation for each set. When there is a change in a relative position or orientation between the object on the image and a shape represented by the shape information, the processor repeats generation of the plural sets, estimation of the position and the orientation of the imaging device and evaluation of the estimation result. The processor determines the position and the orientation of the imaging device based on the repeated evaluation.

Abstract: A display control method includes, displaying a first plurality of edge lines extracted from an image that includes a manufactured article, accepting designation for a second plurality of edge lines selected from the displayed first plurality of edge lines, identifying pairs each of which includes an edge line of the second plurality of edge lines and a line of a plurality of lines corresponding to the edge line, the plurality of lines being included in a three-dimensional model, determining a specific display posture of the three-dimensional model such that a positional relation between a first edge line and a first line included in a first pair satisfies a condition and a position of a second edge line and a position of a second line included in a second pair correspond to each other, and superimposing, in accordance with the specific display posture, the three-dimensional model on the image.

Abstract: An inspection apparatus includes a memory for storing shape information including a plurality of line segments representing a shape of an object; and a processor coupled to the memory and the processor that detects a plurality of feature lines from an image of the object, generates a plurality of combinations obtained by correlating each of the plurality of line segments and each of the plurality of feature lines with each other, generates a plurality of projection lines by projecting each of the plurality of line segments onto the image, sets a threshold value with respect to an error between a position of the projection lines and a position of the feature lines of the line segments included in each of the plurality of combinations based on a statistical value of the error, and classifies the plurality of combinations using the threshold value.

Abstract: An estimation device includes a processor coupled to a memory and configured to detect a plurality of feature lines from an image of the object photographed by an imaging device, generate a plurality of sets of a predetermined number of line segments among the plurality of line segments, select a set to be processed from among the plurality of sets based on a length-first selection order in which a line segment that is longer than other line segments is preferentially selected, generate the predetermined number of combinations in which the predetermined number of line segments included in the set to be processed and the predetermined number of feature lines among the plurality of feature lines are associated with each other on a one-to-one basis, and estimate a position and a orientation of the imaging device in a three-dimensional space using the predetermined number of combinations.

Abstract: An estimation apparatus is configured to obtain shape information containing information about multiple line segments that depict a shape of an object; detect multiple feature lines in an image of the object captured by an imaging apparatus; receive a first instruction for associating a feature line selected from the multiple feature lines with a line segment selected from the multiple line segments and a second instruction for associating two points selected in the image with two end points selected from end points of the multiple line segments; generate a first line segment connecting the two points and a second line segment connecting the two end points; and estimate a position and orientation of the imaging apparatus in three-dimensional space by using a combination of the selected feature line and the selected line segment and a combination of the first line segment and the second line segment.

Abstract: An image processing method includes acquiring a three-dimensional model obtained by modeling a plurality of objects included in a work space, acquiring, from a camera which is hold by a user, an image captured by the camera, the user existing in the work space, acquiring, from a sensor which is hold by the user, distance information indicating distances between the sensor and each of the plurality of objects, determining a position of the user in the work space based on the three-dimensional model and the distance information, identifying a predetermined region closest to the position of the user among at least one of predetermined regions defined in the three-dimensional model, generating a display screen displaying the predetermined region and the image, and outputting the display screen to another computer.

Abstract: A method includes determining overlap between a three-dimensional model of a space in which objects are arranged and first three-dimensional information acquired from a distance sensor at a first time point, the distance sensor being along with a camera which captures an image of the space, determining another overlap between the three-dimensional model, the first three-dimensional information, and second three-dimensional information acquired from the distance sensor at a second time point after the first time point, selecting a subset from within the first three-dimensional information and the second three-dimensional information, based on determination results of the overlap and the another overlap, the subset being used for performing positional alignment with the three-dimensional model, estimating a position and an orientation of the camera by the positional alignment using the subset, and generating a display screen displaying an object on the image according to the position and orientation.

Abstract: An image processing method includes acquiring a three-dimensional model obtained by modeling a plurality of objects included in a work space, acquiring, from a camera which is hold by a user, an image captured by the camera, the user existing in the work space, acquiring, from a sensor which is hold by the user, distance information indicating distances between the sensor and each of the plurality of objects, determining a position of the user in the work space based on the three-dimensional model and the distance information, identifying a predetermined region closest to the position of the user among at least one of predetermined regions defined in the three-dimensional model, generating a display screen displaying the predetermined region and the image, and outputting the display screen to another computer.

Abstract: A sleepiness level detection method of determining a sleepiness level of a subject, includes: detecting a heart beat signal indicating a signal of heart beats from the subject and storing the heart beat signal in a storage device; detecting amplitude peaks of the heart beat signal and detecting an interval between the amplitude peaks as a heart beat interval; and computing a spectral density corresponding to fluctuation in the heart beat interval detected and determining the sleepiness level based on a maximum frequency at which the spectral density is maximum.

Abstract: A sleepiness level detection method of determining a sleepiness level of a subject, includes: detecting a heart beat signal indicating a signal of heart beats from the subject and storing the heart beat signal in a storage device; detecting amplitude peaks of the heart beat signal and detecting an interval between the amplitude peaks as a heart beat interval; and computing a spectral density corresponding to fluctuation in the heart beat interval detected and determining the sleepiness level based on a maximum frequency at which the spectral density is maximum.