Patents by Inventor Dan Rico

Dan Rico 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: 9031317
    Abstract: An adequate solution for computer vision applications is arrived at more efficiently and, with more automation, enables users with limited or no special image processing and pattern recognition knowledge to create reliable vision systems for their applications. Computer rendering of CAD models is used to automate the dataset acquisition process and labeling process. In order to speed up the training data preparation while maintaining the data quality, a number of processed samples are generated from one or a few seed images.
    Type: Grant
    Filed: September 18, 2012
    Date of Patent: May 12, 2015
    Assignee: Seiko Epson Corporation
    Inventors: Yury Yakubovich, Ivo Moravec, Yang Yang, Ian Clarke, Lihui Chen, Eunice Poon, Mikhail Brusnitsyn, Arash Abadpour, Dan Rico, Guoyi Fu
  • Publication number: 20140079314
    Abstract: An adequate solution for computer vision applications is arrived at more efficiently and, with more automation, enables users with limited or no special image processing and pattern recognition knowledge to create reliable vision systems for their applications. Computer rendering of CAD models is used to automate the dataset acquisition process and labeling process. In order to speed up the training data preparation while maintaining the data quality, a number of processed samples are generated from one or a few seed images.
    Type: Application
    Filed: September 18, 2012
    Publication date: March 20, 2014
    Inventors: Yury Yakubovich, Ivo Moravec, Yang Yang, Ian Clarke, Lihui Chen, Eunice Poon, Mikhail Brusnitsyn, Arash Abadpour, Dan Rico, Guoyi Fu
  • Publication number: 20100158332
    Abstract: The invention provides a system and method for processing medical images. Input medical images are normalized first, utilizing pixel intensities of control point tissues, including subcutaneous fat. Clustered density map and malignance probability map are generated from a normalized image and further analyzed to identify regions of common internal characteristics, or blobs, that may represent lesions. These blobs are analyzed and classified to differentiate possible true lesions from other types of non-malignant masses often seen in medical images.
    Type: Application
    Filed: December 21, 2009
    Publication date: June 24, 2010
    Inventors: Dan Rico, Desmond Ryan Chung
  • Publication number: 20060167355
    Abstract: A method, computer software product and computer system for analyzing digital mammograms. The method, computer software product and computer system involve a generating phantom thickness object; receiving a set of dimensions for a breast; and, transforming the phantom thickness object to conform to the set of dimensions for the breast to provide the three-dimensional breast thickness object.
    Type: Application
    Filed: June 12, 2003
    Publication date: July 27, 2006
    Applicant: Sunnybrook and Women's College Health Sciences Centre
    Inventors: Dan Rico, Jiwei Yang, Gordon Mawdsley, Martin Yaffe, Bindu Augustine