Abstract: The present technology relates to an information processing device, an information processing method, and an information processing system capable of appropriately updating software used for travel assistance or automated driving of a mobile body. An information processing device includes: a recognition unit that performs recognition processing of a situation around a mobile body on the basis of sensor data regarding the situation around the mobile body; and a software update control unit that controls update of software used for travel assistance or automated driving of the mobile body on the basis of a recognition result of the recognition processing. The present technology can be applied to, for example, a vehicle that performs automated driving.

Abstract: The present technology relates to an information processing apparatus, an information processing method, and a program that enable efficient relearning of a recognition model. An information processing apparatus includes: a collection timing control unit configured to control a timing to collect a learning image candidate that is an image to be a candidate for a learning image to be used in relearning of a recognition model; and a learning image collection unit configured to select the learning image from among the learning image candidates that have been collected, on the basis of at least one of a feature of the learning image candidate or a similarity to the learning image that has been accumulated. The present technology can be applied to, for example, a system that controls automated driving.

Abstract: A more desirable travel route for a user is set. An information processing apparatus includes: an information acquisition unit (18) configured to acquire road information on each of two or more travel routes to a destination; a priority acquisition unit (23) configured to acquire priority of driving means in accordance with the road information; and a selection unit (11) configured to select one of the two or more travel routes on the basis of the road information and the priority.

Abstract: A signal identifying device according to an embodiment includes a traffic light extractor, a lighting region extractor, and an identifier. The traffic light extractor extracts a region of a traffic light in a captured image. The lighting region extractor extracts a lighting region in the captured image. The identifier performs processing for identifying a lighting color of the traffic light on the basis of a position of the lighting region in the region of the traffic light.

Abstract: A method for carrying out a biometrics authentication includes detecting an object from a first image including the object, detecting feature points of the object in the detected object, generating a second image based on the feature points, wherein the second image is a normalized image of the object that is obtained by rotating and resizing the object in the first image, determining whether or not the object in the second image faces front, calculating a feature value of the object upon determining that the object in the normalized image faces front, and comparing the calculated feature value with a reference feature value for the biometrics authentication.

Abstract: A method for determining authenticity of an object includes, detecting the object included in each of a plurality of two-dimensional images captured at different angles, detecting one or more feature points in the detected object, generating three-dimensional data representing a surface around each of the one or more feature points, generating a similarity value of the generated three-dimensional data relative to referential three-dimensional data, with respect to each of the one or more feature points, and determining whether or not the object is a real object, based on the similarity value generated with respect to each of the one or more feature points.

Abstract: An identification apparatus has an extraction unit comprising: an extraction unit; an acquisition unit; and an identification unit. The extraction unit extracts, from an object region in an image, a candidate region including candidate points of a predetermined object using parallax information. The acquisition unit acquires a characteristic value based on image information in the candidate region. The identification unit that identifies whether or not the candidate region includes the predetermined object based on similarity between the characteristic value and a reference characteristic value.

Abstract: An identification apparatus has an extraction unit comprising: an extraction unit; an acquisition unit; and an identification unit. The extraction unit extracts, from an object region in an image, a candidate region including candidate points of a predetermined object using parallax information. The acquisition unit acquires a characteristic value based on image information in the candidate region. The identification unit that identifies whether or not the candidate region includes the predetermined object based on similarity between the characteristic value and a reference characteristic value.

Abstract: A method for determining authenticity of an object includes, detecting the object included in each of a plurality of two-dimensional images captured at different angles, detecting one or more feature points in the detected object, generating three-dimensional data representing a surface around each of the one or more feature points, generating a similarity value of the generated three-dimensional data relative to referential three-dimensional data, with respect to each of the one or more feature points, and determining whether or not the object is a real object, based on the similarity value generated with respect to each of the one or more feature points.

Abstract: An authentication apparatus includes first and second storage units in which feature data of different authentication targets are stored, a feature extraction unit that extracts feature data of a subject from an image including the subject, a recognition unit that compares the extracted feature data of the subject and the feature data of the authentication targets stored in the first storage unit and the second storage unit to generate similarity results, and recognize one of the authentication targets as the subject based on the comparison results, and an update unit that updates the feature data stored in the second storage unit with the extracted feature data of the subject based on the comparison results.