Abstract: An information processing apparatus (2000) detects an abnormal region (30) from a moving image frame (14). The abnormal region (30) is a region that is estimated to represent an abnormal part inside a body of a subject. The information processing apparatus (2000) generates and outputs output information based on the number of detected abnormal regions (30).

Abstract: An information processing apparatus (2000) detects an abnormal region (30) from a predetermined range (16) of a video frame (14). The information processing apparatus (2000) determines whether a predetermined condition is satisfied in a case where the abnormal region (30) is detected from the predetermined range (16) of a certain video frame (14) and the abnormal region (30) is not detected from the predetermined range (16) of a predetermined video frame (14) generated later than the video frame (14). In a case where the predetermined condition is not satisfied, the information processing apparatus (2000) performs a predetermined notification.

Abstract: An information processing apparatus (2000) detects an abnormal region (30) in each of a plurality of video frames (14) constituting video data (12) in which the inside of a body is captured. The information processing apparatus (2000) outputs output information related to the detected abnormal region (30). Herein, the information processing apparatus (2000) starts outputting of the output information when a detection score based on a proportion of the number of the video frames (14) in which the abnormal region (30) is detected becomes equal to or more than a first threshold value in a state where outputting of the output information is not being performed. Further, the information processing apparatus (2000) ends outputting of the output information when the detection score becomes equal to or less than a second threshold value in a state where outputting of the output information is being performed.

Abstract: An information processing apparatus (2000) detects an abnormal region (30) from a moving image frame (14). The abnormal region (30) is a region that is estimated to represent an abnormal part inside a body of a subject. The information processing apparatus (2000) generates and outputs output information based on the number of detected abnormal regions (30).

Abstract: An image diagnosis apparatus (10) performs a diagnosis assistance process using images (moving image) generated by an endoscope or the like. The image diagnosis apparatus (10) includes a first processing unit (110) and a second processing unit (120). The first processing unit (110) executes preprocessing of deciding whether or not a tumor judgment process is necessary with respect to each of a plurality of input images. The second processing unit (120) performs the tumor judgment process with respect to the input image for which it is decided that “the tumor judgment process is necessary” in the preprocessing executed by the first processing unit (110).

Abstract: A personal authentication device includes: acoustic signal transmission means 701 for transmitting a first acoustic signal to a part of a head of a user; acoustic signal observation means 702 for observing a second acoustic signal which is an acoustic signal after the first acoustic signal propagates through the part of the head; acoustic property calculation means 703 for calculating an acoustic property from the first acoustic signal and the second acoustic signal; and user identification means 704 for identifying the user, based on the acoustic property or a feature value extracted from the acoustic property and relating to the user.

Abstract: An information processing apparatus (2000) detects an abnormal region (30) from a predetermined range (16) of a video frame (14). The information processing apparatus (2000) determines whether a predetermined condition is satisfied in a case where the abnormal region (30) is detected from the predetermined range (16) of a certain video frame (14) and the abnormal region (30) is not detected from the predetermined range (16) of a predetermined video frame (14) generated later than the video frame (14). In a case where the predetermined condition is not satisfied, the information processing apparatus (2000) performs a predetermined notification.

Abstract: An information processing apparatus (2000) detects an abnormal region (30) from video data (12). The information processing apparatus (2000) displays a video frame (14) in which the abnormal region (30) is detected in a first region (22) of a display device (20). Further, the information processing apparatus (2000) displays the video data (12) including the video frame (14) generated after the video frame (14) displayed in the first region in a second region (24) of the display device (20).

Abstract: An image diagnosis apparatus (10) performs a diagnosis assistance process using images (moving image) generated by an endoscope or the like. The image diagnosis apparatus (10) includes a first processing unit (110) and a second processing unit (120). The first processing unit (110) executes preprocessing of deciding whether or not a tumor judgment process is necessary with respect to each of a plurality of input images. The second processing unit (120) performs the tumor judgment process with respect to the input image for which it is decided that “the tumor judgment process is necessary” in the preprocessing executed by the first processing unit (110).

Abstract: A personal authentication device includes: acoustic signal transmission means 701 for transmitting a first acoustic signal to a part of a head of a user; acoustic signal observation means 702 for observing a second acoustic signal which is an acoustic signal after the first acoustic signal propagates through the part of the head; acoustic property calculation means 703 for calculating an acoustic property from the first acoustic signal and the second acoustic signal; and user identification means 704 for identifying the user, based on the acoustic property or a feature value extracted from the acoustic property and relating to the user.

Abstract: Disclosed is an information processing apparatus capable of performing face recognition with high accuracy. An information processing apparatus, comprising: generation means for generating, based on an original facial image, a plurality of facial images, each of the facial images corresponds to the original facial image facing to a different direction each other; feature value extraction means for extracting feature values of the facial images based on the plurality of facial images generated by the generation means; feature value synthesis means for generating a synthesized feature value by synthesizing the feature values which are extracted by the feature value extraction means; and recognition means for performing face recognition based on the synthesized feature value.

Abstract: A personal authentication system according to the present invention includes a matrix generation unit, a feature extraction unit, a feature transformation unit, a processing unit, and a data matching unit. The matrix generation unit classifies a plurality of feature amounts of face image data, which are recorded in advance, into classes and calculates as a mapping matrix, coefficients of a linear discriminant equation which uses the recorded plurality of feature amounts as variables. The feature extraction unit extracts a first feature amount from first face image data and extracts a second feature amount from second face image data. The feature transformation unit, by using the mapping matrix, transforms the first feature amount into a first transformed feature amount and transforms the second feature amount into a second transformed feature amount.

Abstract: A terminal has a visual axis by using which a user points to a target object. An information generating server acquires an internal image or an external image of the target object pointed by a user, and generates a display image which is displayed on the terminal.

Abstract: [PROBLEMS] To provide a feature extracting method for quickly extracting a feature while preventing lowering of the identification performance of the kernel judgment analysis, a feature extracting system, and a feature extracting program. [MEANS FOR SOLVING PROBLEMS] Judgment feature extracting device (104) computes an interclass covariance matrix SB and an intraclass covariance matrix SW about a learning face image prepared in advance, determines optimum vectors ?, ? which maximizes the ratio of the interclass covariance to the intraclass covariance, derives a conversion formula for converting an inputted frequency feature vector x into a frequency feature vector y in a judgment space, and extracts judgment features of a face image for record and a face image for check by using a restructured conversion formula. Similarity computing device (105) computes the similarity by comparing the judgment features.

Abstract: A personal authentication system according to the present invention includes a matrix generation unit, a feature extraction unit, a feature transformation unit, a processing unit, and a data matching unit. The matrix generation unit classifies a plurality of feature amounts of face image data, which are recorded in advance, into classes and calculates as a mapping matrix, coefficients of a linear discriminant equation which uses the recorded plurality of feature amounts as variables. The feature extraction unit extracts a first feature amount from first face image data and extracts a second feature amount from second face image data. The feature transformation unit, by using the mapping matrix, transforms the first feature amount into a first transformed feature amount and transforms the second feature amount into a second transformed feature amount.

Abstract: A mole identifying method having the following steps: inputting a multispectral image photographed using an imaging device and composed of a plurality of spectra; detecting mole candidates from said multispectral image; and identifying said mole candidates as a true mole or false mole based on the absorption spectra of said detected mole candidates.

Abstract: A 3D shape estimation system has a storage device, a relative shape analysis module, a feature point location search module and an absolute shape analysis module. The storage device stores first and second learning data which represent illumination bases and 3D shapes of objects, respectively. The relative shape analysis module calculates an “illumination basis” of an object based on a 2D image of the object and the first learning data, calculates a “relative shape function” that is partial differential of a “shape function” indicating a 3D shape of the object from the illumination basis, and outputs a relative shape data indicating the relative shape function. The feature point location search module extracts a plurality of feature points from the input 2D face image based on the 2D image and the relative shape data, and outputs a feature point location data indicating locations of the feature points.

Abstract: A terminal, information generating servers and a positional information server are provided. The information generating servers are installed in respectively corresponding to a plurality of objects. Each object may be divided into small blocks as one or more spatial regions and a case is included in which the block is the small block. One or more image acquisition cameras are provided which acquire an internal image of each object or an external image in which surroundings of each object are seen from the object. A display image to be transmitted to the terminal is generated from the internal image or the external image of each object based on at least one of terminal positional information indicating a position of the terminal and terminal directional information indicating a direction of the terminal. While pointing a to-be-identified target object among the objects, the terminal detects, detects the terminal positional information and the terminal directional information.

Abstract: Feature decision means (303) decides a set of features appropriate for pattern identification from a plenty of feature candidates generated by feature candidate generation means (302) by using learning patterns stored in learning, pattern storage means (301). The feature decision means (303) successively decides features according to a reference of information maximization under the condition that the decided feature is known while adding an effective noise to the learning pattern and performs information amount calculation approximately and at a high speed while merging the learning patterns into a set of N elements when required. As a result, it is possible to automatically create a feature set appropriate for pattern identification of a high performance without requiring enormous learning. Moreover, by using a transition table (305) containing transitions between sets, it is possible to perform pattern judgment with a high efficiency.

Abstract: There is provided a function unlocking system using highly-convenient face authentication with high accuracy for an information processing terminal. In the function unlocking system, a face authentication section carries out face authentication by using a face image of the user that is obtained by an image pickup section, with key input carried out by the user through a key input section as a trigger. Along with the above, a key input content determination section determines whether a pattern of input key input matches with a pattern registered in advance or not. Then, an unlocking determining section determines whether a lock is to be released or not on the basis of a result of the face authentication by the face authentication section and a result of key input determination by a key input content determination section. In case the unlocking determining section determines that a lock is to be released, a function locking section releases the lock.