Panasonic Intellectual Property Management Co., Ltd.

Panasonic Corporation

Yuki Maruyama

Taro Imagawa

Hiroya Kusaka

Hideyuki Ohgose

Akihiro Noda

Toshiyasu Sugio

Kiyofumi Abe

Youji Shibahara

Toru Matsunobu

Hiroshi Arakawa

Tatsuro Juri

Koji Arimura

Yuki Kobayashi

Kentaro Matsumoto

Takahiro Nishi

Takashi Hashimoto

Kazuhito Kimura

Katsuo Saigo

Shinji Kitamura

Kei Tasaka

Yasunobu Ogura

Toshihiko Kusakabe

Katsuki Urano

Hisao Sasai

Mikihiro Ouchi

Takako Hori

Tomoaki Itoh

Yoichi Sugino

Kuniaki Isogai

Kazuma Sakakibara

Ryuji Muta

An information processing method includes: obtaining training images generated by a camera shooting a target point and training parameters related to a position/orientation of the camera when shooting the training images; generating, using the training parameters as inputs, a model that outputs a first displacement amount by which a target block corresponding to the target point displaces from a reference position in the training images; obtaining measurement images generated by the camera shooting the target point and measurement parameters related to the position/orientation of the camera when shooting the measurement images; obtaining a second displacement amount, output by inputting the measurement parameters into the model, by which a target block corresponding to the target point appearing in the measurement images displaces from a reference position in the measurement images; and outputting a displacement obtained by subtracting the second displacement amount from displacement of the target block in the measurement images.

Information processing method, information processing device, and information processing system for measuring displacement in a structure

A measurement method, which is performed by a measurement device that measures a displacement of a target object, includes: receiving designation of a designation point on a first image that includes the target object; setting a plurality of set points, based on the designation point; identifying a direction of a line that connects two of the plurality of set points; generating a second image by rotating the first image, the second image being an image in which the identified direction of the line is horizontal or vertical; setting, in the second image, a measurement region that partially includes the line; and measuring the displacement of the target object in the measurement region, the displacement being a displacement in a direction orthogonal to the line.

Measurement method and measurement device

A conversion parameter calculation method includes: obtaining, from a first image capturing device, first image data obtained by the first image capturing device capturing an image of an object; obtaining, from a second image capturing device, second distance data indicating a distance to the object, and second image data obtained by the second image capturing device capturing an image of the object; obtaining displacement direction information indicating a direction of a displacement of the object in three dimensions; associating positions on the object in the first image data and the second image data; estimating a position of the first image capturing device; calculating first distance data indicating a distance from the first image capturing device to the object; and calculating a conversion parameter for converting a pixel displacement amount of the object into the actual displacement amount, using the first distance data and the displacement direction information.

Conversion parameter calculation method, displacement amount calculation method, conversion parameter calculation device, and displacement amount calculation device

An imaging parameter output method is a method of outputting an imaging parameter of an imaging device that captures an image for measuring a displacement representing a movement of an object. The imaging parameter output method includes: obtaining object information identifying the object, and a geometric imaging condition for imaging the object; calculating the imaging parameter including a candidate imaging area for placing the imaging device and the accuracy in measuring the displacement in the candidate imaging area, based on the object information and the geometric imaging condition, without imaging the object using the imaging device; and outputting the imaging parameter.

Imaging parameter output method and imaging parameter output device

A detection device includes an acquirer that acquires a video of each of a plurality of bearings of a structure including the plurality of bearings, an extractor that extracts a dynamic feature corresponding to a plurality of degrees of freedom of each of the plurality of bearings based on the video, and an identifier that identifies, among the plurality of bearings, a bearing whose dynamic feature fails to match a dynamic feature of one or more other bearings of the plurality of bearings.

Bearing displacement detection device and method

A conversion parameter calculation method includes: obtaining, from an image capturing device, image data obtained by the image capturing device capturing an image of an object having attached thereto a marker with which specific coordinates are detectable; obtaining displacement direction information indicating a direction of a displacement of the object, the direction crossing an image capturing surface of the image capturing device; detecting specific coordinates, based on the marker included in the image data; estimating a position of the image capturing device, based on a result of the detection; calculating distance data indicating a distance from the image capturing device to the object, based on the position of the image capturing device; and calculating, using the distance data and the displacement direction information, a conversion parameter for converting a pixel displacement amount of the object into an actual displacement amount.

A prediction device for predicting the growth direction of a crack that occurs in a subject includes: an obtainer that obtains video of the subject; a derivation unit that derives displacement of each of a plurality of regions in the obtained video; a selector that selects, from among the plurality of regions, two or more regions each having displacement similar to displacement of a reference region included in the plurality of regions; and an identification unit that identifies, as the growth direction, the longitudinal direction of a collective region made up of the two or more selected regions.

Prediction device for predicting a growth direction of a crack in a subject and prediction method

A displacement measurement device includes: an obtainer that obtains a first image which contains a subject and a second image which contains the subject; a generator that generates M template images which contain the subject and which have noise from the first image and generates M target images which contain the subject and which have noise from the second image, M being an integer of 2 or higher; a hypothetical displacement calculator that calculates M hypothetical displacements of the subject from the M template images and the M target images; and a displacement calculator that calculates a displacement of the subject by performing statistical processing on the M hypothetical displacements.

Displacement measurement device and displacement measurement method

A displacement measurement device includes: a first machine learning model trained to generate, from one image which contains a subject and has noise, at least one image which contains the subject and which has noise or has had noise removed; a first obtainer that obtains a first image which contains the subject and has noise and a second image which contains the subject and has noise; a first generator that, using the first machine learning model, generates M template images containing the subject from the first image and generates M target images containing the subject from the second image, M being an integer of 2 or higher; a hypothetical displacement calculator that calculates M hypothetical displacements of the subject from the M template images and the M target images; and a displacement calculator that calculates a displacement of the subject by performing statistical processing on the M hypothetical displacements.

An information presentation method according to the present disclosure includes: acquiring two or more monochrome images obtained by image-capturing a structure using a monochrome camera and one or more first color images obtained by image-capturing the structure using a color camera, the one or more first color images having a less amount of information than an amount of information of the two or more monochrome images; detecting a displacement that indicates a movement of the structure based on the two or more monochrome images; generating presentation information that includes one or more second color images that present information that indicates the displacement based on the two or more monochrome images and the one or more first color images; and outputting the presentation information.

Information presentation methods

A method controls access permission to an image including receiving session information from a first camera at a first position, the session information indicating a subject to be photographed and a session in which the first camera joins, receiving an image of the subject from the first camera, updating the session information such that a second camera, at a second position, joins the session, and monitoring whether the second camera joins the session. A first period is calculated in which the second camera joins the session, a second period is calculated based on the first period, and access permission to a shared image is controlled such that the second camera downloads the shared image during the second period and does not download the shared image outside of the second period, the shared image being one of the image and an image generated based on the image.

Method for sharing photographed images between users

A photographing method in which a terminal device performs photographing is provided. The photographing method includes synchronizing a clock of the terminal device with a reference clock, and acquiring photographing clock time information indicating a photographing clock time which is based on the reference clock through a communication network. The photographing method also includes specifying a photographing delay time until the photographing is performed since photographing start in the terminal device, and photographing a subject at the photographing clock time indicated by the photographing clock time information. The photographing clock time being based on the clock of the terminal device already synchronized with the reference clock.

Image photographing method performed with terminal device having camera function

An image photographing method for sharing a shared image, which is a plurality of images obtained by photographing an identical subjectwith a plurality of cameras or an image generated from the plurality of images, between a plurality of users of the plurality of cameras, the image photographing method including: judging whether a target camera that is one of the plurality of cameras photographs subject(S); and allowing a user of the target camera to browse the shared image according to a period in which the target camera photographs subject(S) when the judgement that the target camera photographs subjectis made (Yes in S).

An image processing method for processing a plurality of images is provided. The image processing method includes: acquiring a plurality of first images, each of the plurality of first images taken with each of a plurality of imaging devices; acquiring first imaging clock times, each of the first imaging clock times corresponding to each of the plurality of first images; selecting a plurality of second images from the plurality of first images; and generating an image set constructed with the plurality of second images. Each of second imaging clock times correspond to each of the plurality of second images. The second imaging clock times are (i) substantially matched with each other and (ii) included in the first imaging clock times.

Image processing method and image processing system

A video distribution method is a video distribution method to be performed by a server that distributes a plurality of videos captured by a plurality of users from different viewpoints to a terminal apparatus. The video distribution method includes distributing, from a server to a terminal apparatus, a first video that is one of a plurality of videos captured by a plurality of users from different viewpoints and that is requested by the terminal apparatus, selecting a second video that is one of the plurality of videos and that is likely to be next requested next time by the terminal apparatus, and starting transmission of the second video to the terminal apparatus during distribution of the first video to the terminal apparatus.

Growing community of inventors

Osaka, Japan

Yuki Maruyama