Abstract: An information processing apparatus that compares a query image and a model image and provides support information for discriminating a subject of the model image from a subject of the query image is disclosed. The information processing apparatus includes: a feature point extracting unit extracting one or more feature points from the model image; a feature describing unit describing features of the one or more feature points extracted by the feature point extracting unit; and a discrimination capability value calculating unit generating correlation images among the features described by the feature describing unit, the extracted model image, and one or more other model images for the one or more feature points extracted by the feature point extracting unit, and calculating a discrimination capability value indicating the degree of contribution to discriminating the subject of the model image on the basis of the correlation images.

Abstract: An information processing apparatus may include a control unit to control display of parts information of a plurality of items, to generate search information according to feedback from a user for the parts information, and to control display of a search result according to the search information.

Abstract: There is provided an information processing device including an image acquisition unit configured to acquire an input image of a real space captured with an imaging device, a user interface unit configured to display the input image on a screen of a display device and detect a designated position designated by a user on the screen, a computation unit configured to compute a three-dimensional position of a virtual object in an augmented reality space from the designated position detected by the user interface unit, and an authoring unit configured to associate the three-dimensional position of the virtual object computed by the computation unit with the virtual object to store the three-dimensional position in a storage medium.

Abstract: An apparatus comprising a memory storing instructions is provided. The apparatus includes a control unit for executing the instructions to send signals to display, for a user, a first virtual image superimposed onto an image of real space, the image of real space comprising an image of a potential source of interest for the user. The control unit further executes instructions to send signals to send signals to analyze the image of real space to detect the potential source of interest. The control unit further executes instructions to send signals to notify the user of the potential source of interest.

Abstract: The present invention is associated with an information providing apparatus and method, a terminal apparatus and an information processing method, and a program that are configured to provide users with registered information without locational restrictions. A recognition device 21 recognizes a category from an image of a target object 122-1 obtained by the user in a terminal apparatus 12-1. A server 11 transmits the recognized category to the terminal apparatus 12-1 and receives category “fixed phone” selected by the user and additional information 123 corresponding thereto. An information DB 22 relates the additional information 123 with a recognition device 21 of “fixed phone” and register the related additional information 123. Subsequently, the recognition device 21 recognizes a category from an image of a target object 122-2 obtained by the user in the terminal apparatus 12-1.

Abstract: An object recognition device includes: a model image processing unit having a feature point set decision unit setting a feature point set in a model image, and detecting the feature quantity of the feature point set, and a segmentation unit segmenting the model image; a processing-target image processing unit having a feature point setting unit setting a feature point in a processing-target image and detecting the feature quantity of the feature point; a matching unit comparing the feature quantities of the feature points set in the model image and in the processing-target image so as to detect the feature point corresponding to the feature point set, and executes a matching; and a determination unit determining the processing result in the matching unit so as to determine presence/absence of a model object in the processing-target image.

Abstract: An information processing apparatus that compares an input image with a model image to identify the subject of the input image with the subject of the model image. The apparatus includes feature value extraction means for setting feature points, each of which is on an edge of the model image and provided to extract a model image feature value, which is the feature value of the model image, and extracting the model image feature value from each of a plurality of feature value extraction areas in the neighborhood of each of the feature points, and matching means for checking if an input image feature value, which is the feature value of the input image, at the point that is on an edge of the input image and corresponds to the feature point matches any of the plurality of model image feature values at the feature point.

Abstract: There is provided an information processing apparatus including a data pool generation section which generates an unknown data pool, a learning sample collection section which randomly collects a plurality of learning samples from the unknown data pool, a classifier generation section which generates a plurality of classifiers using the learning samples, an output feature quantity acquisition section which associates with the data, for each piece of the data, a plurality of output values, which are obtained by inputting the data into the plurality of classifiers to identify the data, as an output feature quantity represented in an output feature quantity space different from the feature quantity space, and a classification section which classifies each piece of the data into any one of a predetermined number of the classes based on the output feature quantity.

Abstract: A recognition device includes storage unit that stores information of a cluster to which a model feature point belongs; extracting unit that extracts a feature amount of a query feature point; generating unit that determines a first set of the query feature point including a reference point and a dependent point, and generates geometric information; clustering unit that clusters the query feature point; correcting unit that sets up the model feature point as a nearest candidate of the reference point, sets up the model feature point as a nearest candidate of the dependent point, determines whether or not the nearest candidate of the reference point is present, and corrects the model feature point; and similarity degree calculating unit that calculates a similarity degree of the first set and a second set and determines the second set nearest to the first set.

Abstract: A robot apparatus, method and computer program storage device use a memory that stores cueing point information and user information to assist a user in an external environment. The cueing points are distributed within an environmental map held by the robot apparatus, and when the user is detected by the robot apparatus as approaching a predetermined region within the external environment classified as a cueing point, the robot apparatus reacts by providing a cue to the user. The cue may user-specific, or optionally provided based on a level of care required by the user.

Abstract: Provided is a control apparatus comprising an executing unit for allowing a movable body to perform a predetermined process, a storage unit for storing an environment map of a movable area of the movable body, a detection unit for detecting information on the surroundings of the movable body, an update unit for updating the environment map based on the information on the surroundings of the movable body, which is detected by the detection unit, and an acquisition unit for acquiring instruction information representing an instruction of a user according to user input, wherein the executing unit allows the movable body to perform the process based on the instruction information with reference to the environment map, and the update unit updates the environment map based on the instruction information and the process performed by the movable body based on the instruction information.

Abstract: Disclosed herein is an object recognition device for recognition of an object that exists in an image, the device including: an edge image creator configured to create an edge image from a target image; a local feature extractor configured to extract a feature of each edge point on an edge image, and determine a base point and a support point from edge points in a local area defined for the edge image; a feature matching unit configured to implement, with reference to a memory, feature matching of a base point and a support point to thereby acquire a matching pair; and a matching pair determiner configured to determine final matching pairs by employing matching pairs having a highest matching cost among matching pairs obtained by the feature matching unit, wherein an object in a target image is identified based on matching pairs determined by the matching pair determiner.

Abstract: A learning device includes: a feature point extracting unit for extracting a feature point from each of multiple generated images; a feature point feature amount extracting unit for extracting feature point feature amount representing the feature of the feature point from the generated image; a whole feature amount calculating unit for calculating the whole feature amount representing the feature of the whole generated image from the feature point feature amount of the generated image based on a shared code book including generated feature amount to be commonly used for generation of an identifier for identifying each of different identified objects; and an identifier generating unit for generating the identifier based on the whole feature amount of the generated image, and a correct answer label representing whether the generated image is the positive image or the negative image.

Abstract: A learning device includes: a feature point extracting unit for extracting a feature point from each of multiple generated images made up of a positive image including an identified object, and a negative image excluding the identified object; a feature point feature amount extracting unit for extracting feature point feature amount representing the feature of the feature point from the generated image; a whole feature amount calculating unit for calculating the whole feature amount representing the feature of the whole generated image based on the feature point feature amount of a feature point existing on a feature point selection range determined based on the multiple generated images, of the generated image range; and an identifier generating unit for generating an identifier based on the whole feature amount of the generated image, and a correct answer label representing whether the generated image is the positive image or the negative image.

Abstract: A learning apparatus includes a learning section which learns, according as a learning image used for learning a discriminator for discriminating whether a predetermined discrimination target is present in an image is designated from a plurality of sample images by a user, the discriminator using a random feature amount including a dimension feature amount randomly selected from a plurality of dimension feature amounts included in an image feature amount indicating features of the learning image.

Abstract: The invention aims at separating a background area of an image using a plurality of cameras by utilizing a method of estimating a background in combination with a stereo method. Data on input images, synchronous with one another, which are obtained by photographing images of a subject from different points of sight using at least two cameras is stored in a frame memory. A background area estimation processing unit performs global image superimposition for the input images, synchronous with one another, the data on which is stored in the frame memory on the assumption that a background area is in the distance and has a flat surface. Then, the background area estimation processing unit estimates the background area based on a degree of local similarity. A distance image generation processing unit performs distance measurement with respect to points other than those in the estimated background area by utilizing a stereo method to generate distance images.

Abstract: There is provided an information processing apparatus including a storage section for storing a plurality of images and a plurality of related terms related to each of the plurality of images, the plurality of images being associated with the plurality of related terms, an input section for inputting a concept term indicating a predetermined concept, an extraction section for extracting, when the input concept term corresponds to the related term, the plurality of images each associated with the related term, a selection section for selecting an image which matches the concept of the concept term from the extracted plurality of images, a collection section for collecting a related term associated with the selected image which matches the concept of the concept term, and a calculation section for calculating a term feature amount of a term group of the collected related term.

Abstract: Characters set corresponding to users are registered in a character server, so the users can download characters from the character server and feature the characters in various games. Also, characters of different players can notify characters of players within a range permitted beforehand regarding their own locations in different games or different virtual spaces, and can send messages one to another. Further, in addition to the appearance of the character, attributes of the character and items which the player have can be stored in the character server, and used throughout various games. Thus, the same characters can be featured in various types of game programs.

Abstract: A learning device includes a feature-point extracting section extracting feature points from a generation image, a feature-point feature-quantity extracting section extracting feature-point feature-quantities representing features of the feature points, a total-feature-quantity generating section generating a total feature quantity represented by a multi-dimensional vector, and an identifier generating section generating an identifier using the total feature quantity and a true label indicating whether or not the generation image is a positive image or a negative image.

Abstract: An object recognition device includes: a model image processing unit having a feature point set decision unit setting a feature point set in a model image, and detecting the feature quantity of the feature point set, and a segmentation unit segmenting the model image; a processing-target image processing unit having a feature point setting unit setting a feature point in a processing-target image and detecting the feature quantity of the feature point; a matching unit comparing the feature quantities of the feature points set in the model image and in the processing-target image so as to detect the feature point corresponding to the feature point set, and executes a matching; and a determination unit determining the processing result in the matching unit so as to determine presence/absence of a model object in the processing-target image.