公开(公告)号：US20240362907A1

公开(公告)日：2024-10-31

申请号：US18750039

申请日：2024-06-21

Applicant: Panasonic Intellectual Property Corporation of America

Inventor： Satoshi SATO ,  Kunio NOBORI ,  Shunsuke YASUGI

IPC: G06V10/88 ,  G06F21/62 ,  G06V10/14 ,  G06V10/774 ,  H04N23/56 ,  H04N23/95

CPC classification number: G06V10/88 ,  G06F21/6245 ,  G06V10/14 ,  G06V10/774 ,  H04N23/56 ,  H04N23/95

Abstract: An image identification system includes a first camera that includes a mask and an image sensor, the mask having a changeable mask pattern having a plurality of pinholes, and captures a computational image that is an image with blurring, an image identification unit that identifies the computational image using an identification model that uses the computational image captured by the first camera as input data and an identification result as output data, a mask identification unit that, after the mask pattern is changed, identifies the mask pattern that has been changed, and an identification model change unit that changes the identification model in accordance with the mask pattern identified by the mask identification unit.

公开(公告)号：US20210035355A1

公开(公告)日：2021-02-04

申请号：US17072454

申请日：2020-10-16

Applicant: Panasonic Intellectual Property Corporation of America

Inventor： Satoshi YOSHIKAWA ,  Toshiyasu SUGIO ,  Toru MATSUNOBU ,  Tatsuya KOYAMA ,  Masaki FUKUDA ,  Shunsuke YASUGI

IPC: G06T15/20 ,  G06T19/00 ,  G06T7/194 ,  G06T7/593 ,  G06T7/00 ,  G06T5/50 ,  G06T5/00

Abstract: A method for analyzing a three-dimensional model of an object which includes: obtaining the three-dimensional model generated based on images of the object, the images being imaged by respective cameras from respective viewpoints, the three-dimensional model including three-dimensional points each of which indicating a position of the object; obtaining a camera parameter of one camera among the respective cameras; generating, based on the camera parameter and the three-dimensional model, a depth image indicating a distance between the one camera and the object; generating a foreground image indicating an area in which the object is present in the one image imaged by the one camera; comparing the depth image and the foreground image to determine whether there is a deficiency of a three-dimensional point in the three-dimensional model; and outputting deficiency information if it is determined that there is the deficiency of the three-dimensional point in the three-dimensional model.

公开(公告)号：US20240311635A1

公开(公告)日：2024-09-19

申请号：US18675806

申请日：2024-05-28

Applicant: Panasonic Intellectual Property Corporation of America

Inventor： Kunio NOBORI ,  Satoshi SATO ,  Shunsuke YASUGI ,  Yusuke KATO

IPC: G06N3/08 ,  G06V10/776 ,  G06V10/82

CPC classification number: G06N3/08 ,  G06V10/776 ,  G06V10/82

Abstract: The training system determines a plurality of sensor parameter candidates to be used for an operation of a sensor, generates a plurality of sensor data sets corresponding to each of the plurality of sensor parameter candidates and including sensor data to be obtained by the operation of the sensor and a plurality of pieces of correct answer identification information corresponding to each of the sensor data, generates a plurality of trained neural network model candidates corresponding to the plurality of sensor parameter candidates, calculates identification performance of the plurality of trained neural network model candidates, selects a pair of the trained neural network model candidate with the highest identification performance and the sensor parameter candidate corresponding to the trained neural network model candidate with the highest identification performance, and outputs the selected pair of the sensor parameter candidate and the trained neural network model candidate.