Abstract: An information display apparatus including: a memory; and a processor coupled to the memory, the processor being configured to perform processing including: analyzing transmission information to extract first analysis information with respect to the transmission information; acquiring, from among a plurality of pieces of second analysis information, second analysis information similar to the first analysis information, the plurality of pieces of second analysis information being obtained by analyzing a plurality of pieces of reliable information; comparing the first analysis information with the acquired second analysis information similar to the first analysis information; and displaying a result of the comparison and the transmission information.

Abstract: An image processing device includes a processor that executes a procedure. The procedure includes: generating a manipulated image by executing first manipulation processing on an input image so as to anonymize information contained in the input image; generating a reconstructed image by performing reconstruction processing on the manipulated image to reconstruct the information; and, based on a comparison between the input image and the reconstructed image, determining whether or not to execute second manipulation processing on the input image or on the manipulated image to anonymize the information, wherein the second manipulation processing is different from the first manipulation processing.

Abstract: A determination apparatus calculates, based on a first data group which includes data indicating behaviors of people, reference behavior data indicating a reference behavior among the people about each of a plurality of types of behaviors, acquires, from the first data group, first behavior data indicating a behavior of a first person about each behavior type, calculates difference between the first behavior data and the reference behavior data about each behavior type, determines, from the plurality of types, at least one first type whose difference is at least a first threshold, registers second behavior data indicating a behavior of the first person about each first type in a second data group, extracts third behavior data indicating a behavior of a second person from an input image, and determines whether the second person is identical with the first person based on comparison between the third and second behavior data.

Abstract: A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes acquiring an image data group in which a target person appears from a storage unit, identifying a first behavior of the target person, of which a frequency of appearance is lower than a frequency of appearance of a second behavior by using the acquired image data group, and when it is detected that image data, in which the target person appears and which is displayed on a screen, has a suspicion of spoofing, outputting a message prompting the target person appearing in image data to take the identified first behavior.

Abstract: A generation method includes extracting, by a computer, a tendency of topics shared by a group to which a user of a social networking service belongs; and generating information that indicates, based on the tendency of topics, a probability of the user spreading posted fake information.

Abstract: A determination method includes: receiving first sensing data that includes either video or voice generated in a first remote call made between a first account and a second account and second sensing data that includes either video or voice generated in a second remote call made between the first account and the second account; referring to a storage unit that stores feature information extracted when a specific situation for a person who corresponds to the first account occurs in the first sensing data in association with the specific situation when occurrence of the specific situation for the person who corresponds to the first account is detected in the second sensing data; and making determination related to spoofing on a basis of a matching state between the feature information for the specific situation in the storage unit and the feature information for the specific situation detected from the second sensing data.

Abstract: A memory stores shape information representing a shape of an object. A processor detects a plurality of feature lines from an image of an object that has been captured by an image capturing device in a manufacturing process of manufacturing the object, and produces a plurality of combinations by correlating each of a plurality of line segments in the shape information and each of the plurality of feature lines with each other. Next, the processor performs classification of each of the combinations into an identified combination that has a certain correlation result or an unidentified combination that has an uncertain correlation result. The processor also changes a result of the classification for the identified combination and the unidentified combination according to a reliability of each of the plurality of combinations and determines a degree of progress of the manufacturing process by using the identified combination included in the changed result.

Abstract: An image processing method includes: detecting a plurality of feature lines from a first image captured from a first position; specifying, based on a positional relationship between the plurality of feature lines and a plurality of projection lines generated by projecting each of a plurality of line segments onto the first image, a feature line representing a defective portion of a shape of an object; setting a plurality of candidate positions based on the first position, each of the plurality of candidate positions being a candidate for a second position at which a second image is captured; calculating an evaluation value of each of the plurality of candidate positions; determining any of the plurality of candidate positions based on the evaluation value of each of the plurality of candidate positions; and outputting first information to be used in recognition of the determined candidate position.

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 image processing apparatus includes: a memory that stores shape information including a plurality of line segments representing a shape of an object; and a processor. The processor is configured to: detect a plurality of feature lines from an image of the object, generate a target projection line by projecting any of the plurality of line segments over the image of the object, extract a feature line overlapping with a predetermined region based on the target projection line over the image of the object from the plurality of feature lines to generate a set of feature lines, and select a target feature line from the set of feature lines based on gradient information indicating a gradient of pixel values over the image of the object, and calculate a deviation amount between a line segment corresponding to the target projection line and the target feature line.

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 image processing method includes: detecting a plurality of feature lines from a first image captured from a first position; specifying, based on a positional relationship between the plurality of feature lines and a plurality of projection lines generated by projecting each of a plurality of line segments onto the first image, a feature line representing a defective portion of a shape of an object; setting a plurality of candidate positions based on the first position, each of the plurality of candidate positions being a candidate for a second position at which a second image is captured; calculating an evaluation value of each of the plurality of candidate positions; determining any of the plurality of candidate positions based on the evaluation value of each of the plurality of candidate positions; and outputting first information to be used in recognition of the determined candidate position.

Abstract: An image processing apparatus includes: a memory that stores shape information including a plurality of line segments representing a shape of an object; and a processor. The processor is configured to: detect a plurality of feature lines from an image of the object, generate a target projection line by projecting any of the plurality of line segments over the image of the object, extract a feature line overlapping with a predetermined region based on the target projection line over the image of the object from the plurality of feature lines to generate a set of feature lines, and select a target feature line from the set of feature lines based on gradient information indicating a gradient of pixel values over the image of the object, and calculate a deviation amount between a line segment corresponding to the target projection line and the target feature line.

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 memory stores shape information representing a shape of an object. A processor detects a plurality of feature lines from an image of an object that has been captured by an image capturing device in a manufacturing process of manufacturing the object, and produces a plurality of combinations by correlating each of a plurality of line segments in the shape information and each of the plurality of feature lines with each other. Next, the processor performs classification of each of the combinations into an identified combination that has a certain correlation result or an unidentified combination that has an uncertain correlation result. The processor also changes a result of the classification for the identified combination and the unidentified combination according to a reliability of each of the plurality of combinations and determines a degree of progress of the manufacturing process by using the identified combination included in the changed result.

Abstract: A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process including displaying a plurality of first edge lines extracted from a captured image including a structure captured by a camera and a plurality of second edge lines included in a three dimensional model corresponding to structure data of the structure, detecting a first operation that designates target first edge lines included in the plurality of first edge lines in a first order, detecting a second operation that designates target second edge lines included in the plurality of second edge lines in a second order, associating each of the target second edge lines with one of the target first edge lines based on the first order and the second order, and superimposing the three dimensional model with the structure in the captured image based on a result of the associating.

Abstract: A method includes specifying a position of a virtual object based on a position of a map point that is defined in a first map and indicates three-dimensional coordinates of a feature point, correcting the position of the virtual object based on positions of a plurality of map points defined in a second map and a capturing direction of a camera when the first map is changed to the second map that is different from the first map, and controlling a display to display the virtual object, based on the corrected position of the virtual object and an image captured by the camera.

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.