INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING SYSTEM

    公开(公告)号:US20230344972A1

    公开(公告)日:2023-10-26

    申请号:US18081887

    申请日:2021-05-24

    CPC classification number: H04N9/3188 H04N9/3185

    Abstract: Provided is an information processing method that includes: performing a conversion process on the first feature information to obtain a first conversion result; performing the conversion process on the second feature information to obtain a second conversion result; performing a projection process on the first conversion result to obtain a first projection result; performing the projection process on the second conversion result to obtain a second projection result; calculating an error between the first projection result and the second projection result; and training the second model to reduce the error. The conversion process produces an error between the first projection result and the second projection result that is greater than the error between a projection result obtained by performing the projection process on the first feature information and a projection result obtained by performing the projection process on the second feature information.

    INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM

    公开(公告)号:US20200311966A1

    公开(公告)日:2020-10-01

    申请号:US16902763

    申请日:2020-06-16

    Abstract: An information processing device includes a processor. This processor: obtains at least one of first sensor data output from a first sensor and used to determine an ambient environment of a device in which a third sensor is placed, and second sensor data used to determine an orientation of this device; determines a tilt of a plane in a sensing direction of the third sensor with respect to the orientation of the device based on the at least one of the first sensor data and the second sensor data; determines, in accordance with the tilt determined, a processing target area of third sensor data output from the third sensor and used for object detection processing in the sensing direction of the third sensor; and executes the object detection processing using the processing target area determined, of the third sensor data.

    INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING SYSTEM

    公开(公告)号:US20200242398A1

    公开(公告)日:2020-07-30

    申请号:US16849334

    申请日:2020-04-15

    Abstract: An information processing method performed by a computer includes: obtaining a plurality of recognition result candidates in sensing data and a likelihood of each of the plurality of recognition result candidates, the plurality of recognition result candidates and the likelihood being obtained by inputting the sensing data to a model that is trained by machine learning and performs recognition processing; obtaining an indication designating a part to be analyzed in the sensing data; selecting at least one recognition result candidate from the plurality of recognition result candidates, based on (i) a relationship between each of the plurality of recognition result candidates and the part and (ii) the likelihood of each of the plurality of recognition result, candidates; and outputting the at least one recognition result candidate that is selected.

    INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, AND RECORDING MEDIUM

    公开(公告)号:US20200082508A1

    公开(公告)日:2020-03-12

    申请号:US16558908

    申请日:2019-09-03

    Abstract: An information processing method performed using a computer includes: obtaining first sensor data (SD) that is SD of a scene and includes noise; inputting the first SD to a single converter, and obtaining second SD outputted from the single converter as a result of denoising performed on the first SD by the single converter; obtaining third SD that is SD of a scene identical or corresponding to the scene, does not include the noise, and is different from the second SD; obtaining feature information of the second SD and feature information of the third SD, based on the second SD and the third SD, respectively; and training the single converter by machine learning using the second SD and the feature information of the second SD as converted data, and using the third SD and the feature information of the third SD as reference data corresponding to the converted data.

Patent Agency Ranking