Patents by Inventor Aram Kawewong

Aram Kawewong 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).

  • Patent number: 9098744
    Abstract: Disclosed is a position estimation device including a feature extraction unit that extracts invariant features from an input image, a matching unit that obtains matching between an input image and a registered place by referring to a database containing each registered place and invariant features in association, a similarity calculation unit that calculates a similarity with inclusion of a registered place near a selected registered place when the matching is a threshold or more, and a position identification unit that identifies the input image as a registered place when the similarity is a threshold or more. The feature extraction unit extracts local features from each input image being sequential images taken sequentially, selects features matched between the sequential images as sequential features, and calculates invariant features based on the sequential features. The number of sequential images is variable depending on the number of matched features.
    Type: Grant
    Filed: February 10, 2011
    Date of Patent: August 4, 2015
    Assignee: Tokyo Institute of Technology
    Inventors: Noppharit Tongprasit, Aram Kawewong, Osamu Hasegawa
  • Publication number: 20130108172
    Abstract: Disclosed is a position estimation device including a feature extraction unit that extracts invariant features from an input image, a matching unit that obtains matching between an input image and a registered place by referring to a database containing each registered place and invariant features in association, a similarity calculation unit that calculates a similarity with inclusion of a registered place near a selected registered place when the matching is a threshold or more, and a position identification unit that identifies the input image as a registered place when the similarity is a threshold or more. The feature extraction unit extracts local features from each input image being sequential images taken sequentially, selects features matched between the sequential images as sequential features, and calculates invariant features based on the sequential features. The number of sequential images is variable depending on the number of matched features.
    Type: Application
    Filed: February 10, 2011
    Publication date: May 2, 2013
    Applicant: TOKYO INSTITUTE OF TECHNOLOGY
    Inventors: Noppharit Tongprasit, Aram Kawewong, Osamu Hasegawa