Canon Kabushiki Kaisha

Hiroto Yoshii

Tsunekazu Arai

Eiji Takasu

Toshifumi Fukui

Hideto Kuribayashi

Masakazu Matsugu

Katsuhiko Sakaguchi

Yusuke Mitarai

Shigeki Mori

Kazuhiro Matsubayashi

Takashi Harada

Masaru Okazaki

Hatsuo Machida

Koji Mikami

Katsuhiko Mori

Shunta Tate

Kouichirou Tsujita

Hideki Ina

Tomohiro Suzuki

Shinji Uchiyama

Hiroshi Yoshikawa

Koichi Sentoku

Nobuko Yamamoto

Yasuhiro Okuno

Mie Ishii

Masahiro Kawaguchi

Kenichiro Mori

Takayuki Saruta

Tomoyuki Miyashita

Masaya Ogura

Mamoru Tsukada

Masaki Nakajima

Keiji Takasu

Yoshiaki Sugimura

A method for information processing includes a learning process to generate a tree structured dictionary based on a plurality of patterns including a target object to be recognized. The method includes selecting a plurality of points from an input pattern based on a distribution of a probability that the target object to be recognized is present in the input pattern at each node of a tree structure generated in the learning process, and classifying the input pattern into a branch based on a value of a predetermined function that corresponds to values of the input pattern at selected plurality of points.

Learning method and apparatus for pattern recognition

An image recognition apparatus is provided which comprises a first extracting means for extracting, from every registration image previously registered, a set of registration partial images of a predetermined size, and a second extracting means for extracting, from an input new image, a set of new partial images of a predetermined size. The apparatus further comprises a discriminating means for discriminating an attribute of the new partial image based on a rule formed by dividing the set of the registration partial images extracted by the first extracting means, and a collecting means for deriving a final recognition result of the new image by collecting discrimination results by the discriminating means at the time when the new partial images as elements of the set of the new partial images are input.

Image recognition method and image recognition apparatus

An information processing apparatus having a changed region detection unit performs a process that includes repeating a cycle. The cycle includes causing a projection unit to project a pattern, that includes light and dark portions, onto target objects, causing an image capturing unit to capture an image of the target objects while the pattern is being projected by the projection unit, and causing a holding unit to hold one of the target objects based on a captured image obtained by the image capturing processing. Based on a reference boundary position corresponding to a boundary between the light and dark portions in the pattern in the captured image obtained in a previous cycle and a target boundary position in the captured image obtained in a current cycle, the changed region detection unit detects a changed region with a change between the previous cycle and the current cycle.

Information processing apparatus, and information processing method

An information processing apparatus acquires an image of multiple objects, acquires positions and orientations of the objects based on the image, and decides the holding order of the objects based on the positions and orientations and a direction that is set.

Information processing apparatus, information processing method, and recording medium

An information processing apparatus comprises: a registration unit adapted to register information required to determine at least one specific pattern in an image; an input unit adapted to input image data; a first generation unit adapted to extract a predetermined feature distribution from the input image data, and to generate a first feature distribution map indicating the feature distribution; a second generation unit adapted to generate a second feature distribution map by applying a conversion required to relax localities of the first feature distribution map to the first feature distribution map; and a determination unit adapted to determine, using sampling data on the second feature distribution map and the registered information, which of the specific patterns the image data matches.

Information processing apparatus and control method thereof

An information processing apparatus, for training a classifier that classifies local regions of an object, includes a feature amount setting unit, a selection unit, and a training unit. The feature amount setting unit sets a feature amount to be used by the classifier. The selection unit selects a local region of the object based on a predetermined selection condition based on positions for obtaining the feature amount set by the feature amount setting unit. The training unit trains the classifier using the feature amount set by the feature amount setting unit and the local region selected by the selection unit.

Information processing apparatus and training method

A multi view-point image composed of a great number of images according to a shape of an object is generated or an information processing method used for generating a three-dimensional model or performing image processing of arbitrary view-point object recognition is provided, and based on a plurality of captured images obtained by imaging of the object from a plurality of view points by an imaging means, a relative position and orientation with respect to the object relative to the imaging means for each of the plurality of view points is calculated, and based on the calculated plurality of relative positions and orientations, a missing position and orientation of the imaging means in a direction in which imaging by the imaging means is missing is calculated, and an image used for displaying the calculated missing position and orientation on a display means is generated.

Information processing method and information processing apparatus

Object recognition by comparison of patterns against map of image

An information processing method includes detecting a partial area configuring a target object from an input image, evaluating appropriateness of the detection result, voting with respect to the target object based on the detection result and the evaluation result, and identifying an attribute of the target object based on the voting result.

Method for estimating attribute of object, apparatus thereof, and storage medium

An information processing apparatus for estimating a position and orientation of a target object in a three-dimensional space, inputs a plurality of captured images obtained by imaging the target object from a plurality of viewpoints, clips, for each of the input captured images, a partial image corresponding to a region occupied by a predetermined partial space in the three-dimensional space, from the captured image, extracts, from a plurality of partial images clipped from the plurality of captured images, feature information indicating a feature of the plurality of partial images, stores dictionary information indicating a position and orientation of an object in association with feature information of the object corresponding to the position and orientation, and estimates the position and orientation of the target object by comparing the feature information of the extracted target object and the feature information indicated in the dictionary information.

Information processing apparatus, control method therefor, and computer-readable storage medium

An information processing apparatus creates, for each of a plurality of nodes, a query to be executed for a learning pattern input to the node; inputs a plurality of learning patterns to a root node of the plurality of nodes; executes, for the learning pattern input to each node, the query created for the node; determines whether the query has been effectively executed for the individual learning pattern input to each node; distributes and inputs, to a lower node of each node, an individual learning pattern for which it has been determined in the determining that the query was effectively executed in the node; deletes a learning pattern for which it has been determined in the determining that the query was not effectively executed in each node; and stores an attribute of the learning pattern input to a terminal node of the plurality of nodes in association with the node.

Information processing apparatus, processing method therefor, and non-transitory computer-readable storage medium

An information processing apparatus comprises: a creation unit adapted to create a query string, which is composed of a plurality of queries; a reading unit adapted to read, from the query string, a query corresponding to a hierarchy of a current node in accordance with the hierarchy; a generation unit adapted to generate a plurality of nodes having a tree structure by dividing a learning pattern set in the current node in accordance with the read query corresponding to the hierarchy; and a modifying unit adapted to modify the tree structure by putting nodes in each hierarchy together into a common node with respect to nodes up to a hierarchy corresponding to a length of the query string among the nodes having the tree structure, which have been generated by the generation unit.

Information processing apparatus, information processing method, and storage medium

An information processing apparatus that discriminates the orientation of a target includes a calculation unit that calculates a distribution of a difference in feature amount between a plurality of learning patterns each showing the orientation of a target, a determination unit that determines, using a probability distribution obtained from the distribution of differences calculated by the calculation unit, a pixel that is in an input pattern and is to be referred to in order to discriminate the orientation of a target in the input pattern, and a discrimination unit that performs discrimination for obtaining the orientation of the target in the input pattern by comparing a feature amount of the pixel determined by the determination unit and a threshold set in advance.

Information processing apparatus and information processing method

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Tokyo, Japan

Hiroto Yoshii