Fujitsu Corporation

Asako Kitaura

Seiya Shimizu

Takushi Fujita

Hiroshi Yamada

Eishi Morimatsu

Masami Mizutani

Satoshi Sano

Yasuhiko Nakano

Osafumi Nakayama

Kazuki Osamura

Motoo Masui

Ippei Kusakari

A non-transitory, computer-readable storage medium has stored therein a program for causing a processor to execute a process that includes: adjusting a difference between a first environment map created based on a feature of a given image among captured first time-series images and a second environment map created based on a feature of a given image among second time-series images captured separately from the first time-series images; comparing a position of an image related to a position and orientation calculated based on information on the first environment map with a position of an image related to a position and orientation calculated based on information on the second environment map, and calculating an adjustment value for adjusting a difference between the first environment map and the second environment map based on a result of the comparison.

Adjustment value calculation method

A region clipping method for clipping a region of a target object out of an image is performed by a computer. The method includes: referencing a memory storing three-dimensional positional information of the target object; and calculating, by using information on an imaging position for the image and orientation for the image, the region of the target object within the image from the three-dimensional positional information.

Region clipping method and recording medium storing region clipping program

A position estimation system includes one or more memories and one or more processors configured to acquire a first imaging position measured at a time of imaging a first image among a plurality of images imaged in time series, perform, based on a feature of the first image, calculation of a second imaging position of the first image, and perform, in accordance with a constraint condition that reduces a deviation between the first imaging position and the second imaging position, correction of at least one of the second imaging position or a three-dimensional position of a point included in the first image calculated based on the feature of the first image.

Position estimation system and position estimation method

A method for data collection includes: executing a specification process for identifying a first apparatus from among a plurality of first apparatuses; executing a requesting process that includes transmitting a request to the identified first apparatus; executing a recording process for recording, in a storage, a first identifier of the identified first apparatus when a second apparatus does not receive a response from the identified first apparatus within a predetermined time after transmitting the request; executing a decision process for deciding, in response to an access from any of the plurality of first apparatuses, whether an identifier of the any of the plurality of first apparatuses matches the first identifier stored in the storage; and executing, when the identifier matches the first identifier stored in the storage, a re-requesting process for re-requesting data to the any of the plurality of first apparatuses.

Method, apparatus, and system for data collection

A vehicle image processing apparatus includes a group of cameras, a drawing unit that converts a captured image into an image viewed along a line of sight running from a predetermined position in a predetermined direction, a viewing-line-of-sight changing unit that detects whether a first line of sight is switched to a second line of sight, and a viewing-line-of-sight generation/updating unit that acquires parameters concerning the first and second lines of sight after detecting the switching and generates a parameter which is gradually changed from the parameter of the first line of sight to the parameter of the second line of sight. Moreover, the drawing unit generates, on the basis of the gradually changed parameter, an image which is gradually changed from an image viewed along the first line of sight to an image viewed along the second line of sight.

Vehicle image processing apparatus and vehicle image processing method

A driving support apparatus includes a line-of-data judgment unit configured to judge a type of line-of-sight data indicating a direction of the line of sight of a driver; an estimation unit configured to estimate an attentive watching state of the driver on a target area to be attentively watched by performing based on the target area being set depending on a driving situation based on vehicle state information and a direction of the line of sight indicated by a plurality of pieces of line-of-sight data acquired in a judgment time; and a confidence-level-calculation unit configured to calculate a confidence level of an estimation result of the attentive watching state by performing based on one of setting accuracy of the target area, and a configuration state of line-of-sight data associated with each type of the plurality of pieces of line-of-sight data acquired in the judgment time.

Driving support apparatus, driving support method, and computer-readable recording medium storing driving support program

A vehicle image processing apparatus includes: a group of cameras; a drawing unit that converts a captured image into an image viewed along a line of sight running from a predetermined position in a predetermined direction; a viewing-line-of-sight changing unit that detects whether a first line of sight is switched to a second line of sight; and a viewing-line-of-sight generation/updating unit that acquires parameters concerning the first and second lines of sight after detecting the switching and generates a parameter which is gradually changed from the parameter of the first line of sight to the parameter of the second line of sight. Moreover, the drawing unit generates, on the basis of the gradually changed parameter, an image which is gradually changed from an image viewed along the first line of sight to an image viewed along the second line of sight.

A movement distance estimating device includes: a memory; and a processor coupled to the memory and configured to: determine, based on a first image and a second image included in images captured by an image capture device mounted on a moving body, an amount of relative movement of the moving body between a first time point at which the first image is captured and a second time point at which the second image is captured, determine a scale for the amount of relative movement, based on a relation in a three-dimensional space between a road surface and a spatial point corresponding to a feature point in an area other than a road-surface area in at least one image of the captured images, and determine a movement distance of the moving body between the first and second time points, based on the amount of relative movement and the scale.

Movement distance estimating device and movement distance estimating method

A device has a unit acquires photograph images taken by a first and a second camera; a unit sets correspondences between positions in a first photograph image, in a first display image, in a second photograph image, and in a second display image on the basis of a first photographic line-of-sight from the first camera, a line-of-sight in the first display image based on the first photograph image, a second photographic line-of-sight from the second camera, and a line-of-sight in the second display image based on the second photograph image; and a unit generates the first display image based on correspondence with the first photograph image, generates a third display image by interpolating between the first display image and the second display image based on correspondence with the first photograph image or the second photograph image, and generates the second display image based on correspondence with the second photograph image.

Image processing apparatus, medium recording image processing program, and image processing method

In analysis of a panorama image that is created by processing a series of picture frames, a partial image to constitute a part of the panorama image is extracted from one picture frame among the picture frames, optical flows of the one picture frame is calculated, each of the optical flows with each pixel in the partial image are associated with each other, and a distance to a subject appearing in the partial image is calculated based on the associated optical flows.

Method and apparatus for analyzing image, and computer product

In an image determining apparatus, a subject-shape presuming unit extracts a shape of a specified subject to be determined based on subject-area position information and structure/surface-height map information, a subject-feature-point extracting unit extracts a feature point based on the shape of the subject to be determined. Further, an otherobject-influence determining unit generates number information based on camera data, the feature point, and the height of a group of surrounding objects, an other-object-influence index calculator calculates an other-object-influence index based on the number information, and a display processor displays video picture data based on the other-object-influence index on a display device.

Image determining method, image determining apparatus, and recording medium having recorded therein program for causing computer to execute image determining method

Camera installation flexibility on a moving object can be increased and accuracy in identifying the moving object improved by identifying a moving object origin trajectory as a potential position at which the moving object origin exists under the following conditions: It is possible to identify the position of moving object M by calculating the intersecting point of each moving object origin trajectory T upon multiple trajectories of moving object origin existing.

Moving object locating device, moving object locating method, and computer product

The position detecting device includes a travel speed detecting unit, an optical flow calculating unit, a distance calculating unit, and a position detecting unit. The travel speed detecting unit detects a travel speed of a mobile object moving on an arbitrary route. The optical flow calculating unit calculates an optical flow of one side of the mobile object, based on a series of frame images of the one side. The one side is any one of a left side and a right side of the mobile object. The distance calculating unit calculates a distance to a subject on the one side based on the travel speed and the optical flow. The position detecting unit detects a current position of the mobile object based on point data of the subject and the distance to the subject.

Method and device for detecting position of mobile object, and computer product

A technique is provided which enables users to add, with ease, annotation information to an electronic document on a network and to share the annotation information within a disclosure range set to the annotation information. An electronic information is provided in a state that allows the electronic information to have annotation in formation attached, annotation information to be attached to the electronic information is stored, attribute information indicating the disclosure range of the annotation information is stored and, when a user requests to provide annotation information, annotation information available to the user is provided to a terminal of the user by consulting the attribute information.

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Kawasaki, Japan

Asako Kitaura