Patents by Inventor Shunsuke TSUKATANI

Shunsuke TSUKATANI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240371093
    Abstract: A point cloud complementing device 100 receives a colored three-dimensional point cloud of each point including a missing region and the number of points to be complemented as inputs. A CPU 11 of the point cloud complementing device 100 extracts a feature vector of the three-dimensional point cloud using a feature extractor learned in advance. The CPU 11 uses a point cloud complementing model learned in advance in consideration of an error between color information and brightness information, has the feature vector and the number of points to be complemented as inputs, and outputs a point cloud obtained by complementing the input three-dimensional point cloud up to the number of points to be complemented by performing correction on point at which the brightness does not change among adjacent points of a predicted point cloud such that the points have close brightness information assuming that the points are on the same plane.
    Type: Application
    Filed: September 6, 2021
    Publication date: November 7, 2024
    Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
    Inventors: Shunsuke TSUKATANI, Shingo ANDO, Jun SHIMAMURA
  • Patent number: 12039736
    Abstract: Labels can be accurately identified even for an image with a resolution not used in training data. Based on an input image, a resolution of the input image, and a resolution of a training image used for training a trained model of assigning labels to pixels of an image, a plurality of low-resolution images are generated from the input image by using a plurality of shift amounts for a pixel correspondence between the input image and the respective low-resolution images with a resolution corresponding to the training image, the low-resolution images are input to the trained model, a plurality of low-resolution label images is output in which pixels of the respective low-resolution images are assigned labels, and a label image is output in which labels for pixels of the input image are obtained, based on the shift amounts used for generating the low-resolution images and the low-resolution label images.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: July 16, 2024
    Assignee: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
    Inventors: Shunsuke Tsukatani, Kazuhiko Murasaki, Shingo Ando, Atsushi Sagata
  • Patent number: 12013345
    Abstract: The disclosed technology describes determining and registering dictionary data to diagnose a deteriorating state of a surface of a diagnose object. The method comprises receiving spectral distribution information of deteriorating surface regions of a target object. Given the spectral distribution information and a predetermined spectral distribution information of a reference object, the present technology determines a reference reflectance value of the target object and registers the reference reflectance value of the target object as dictionary data. The reference reflectance value is approximately the same regardless of a progressing state of deterioration of a surface of the target object. Given the dictionary data, the present invention estimates a deterioration state of a surface of a diagnose object under a variety of type of light sources with accuracy, without measuring spectral distribution information about a light source used at the time of measuring spectral data of the diagnose object.
    Type: Grant
    Filed: February 6, 2019
    Date of Patent: June 18, 2024
    Assignee: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
    Inventors: Shunsuke Tsukatani, Shingo Ando, Tetsuya Kinebuchi
  • Publication number: 20220335085
    Abstract: A data selection method selects, based on a set of labeled first data pieces and a set of unlabeled second data pieces, a target to be labeled from the set of the second data pieces. The method includes: a classification procedure classifying data pieces belonging to the set of the first data pieces and data pieces belonging to the set of the second data pieces into clusters of the number at least one more than the number of types of the labels; and a selection procedure selecting the second data piece to be labeled from a cluster, from among the clusters, that does not include the first data piece, each of the procedures being performed by a computer. Thereby, it is possible to select the data piece to be labeled, which is effective for a target task, from among data sets of unlabeled data pieces.
    Type: Application
    Filed: July 30, 2019
    Publication date: October 20, 2022
    Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
    Inventors: Shunsuke TSUKATANI, Kazuhiko MURASAKI, Shingo ANDO, Atsushi SAGATA
  • Publication number: 20220058807
    Abstract: Labels can be accurately identified even for an image with a resolution not used in training data. Based on an input image, a resolution of the input image, and a resolution of a training image used for training a trained model of assigning labels to pixels of an image, a plurality of low-resolution images are generated from the input image by using a plurality of shift amounts for a pixel correspondence between the input image and the respective low-resolution images with a resolution corresponding to the training image, the low-resolution images are input to the trained model, a plurality of low-resolution label images is output in which pixels of the respective low-resolution images are assigned labels, and a label image is output in which labels for pixels of the input image are obtained, based on the shift amounts used for generating the low-resolution images and the low-resolution label images.
    Type: Application
    Filed: December 9, 2019
    Publication date: February 24, 2022
    Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
    Inventors: Shunsuke TSUKATANI, Kazuhiko MURASAKI, Shingo ANDO, Atsushi SAGATA
  • Publication number: 20200378898
    Abstract: Even under a different light source, such as outdoor light source, diagnosis of surface states of a diagnosis target object is performed with a high accuracy without measuring spectral distribution information about the light source at the time of measuring a diagnosis target object.
    Type: Application
    Filed: February 6, 2019
    Publication date: December 3, 2020
    Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
    Inventors: Shunsuke TSUKATANI, Shingo ANDO, Tetsuya KINEBUCHI