Patents by Inventor Quang-Tuan Luong

Quang-Tuan Luong 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: 7620268
    Abstract: An apparatus and a concomitant method for detecting and recognizing text information in a captured imagery. The present method transforms the image of the text to a normalized coordinate system before performing OCR, thereby yielding more robust recognition performance. The present invention also combines OCR results from multiple frames, in a manner that takes the best recognition results from each frame and forms a single result that can be more accurate than the results from any of the individual frames.
    Type: Grant
    Filed: January 3, 2008
    Date of Patent: November 17, 2009
    Assignee: SRI International
    Inventors: Gregory K. Myers, Robert C. Bolles, Quang-Tuan Luong, James A. Herson
  • Publication number: 20080101726
    Abstract: An apparatus and a concomitant method for detecting and recognizing text information in a captured imagery. The present method transforms the image of the text to a normalized coordinate system before performing OCR, thereby yielding more robust recognition performance. The present invention also combines OCR results from multiple frames, in a manner that takes the best recognition results from each frame and forms a single result that can be more accurate than the results from any of the individual frames.
    Type: Application
    Filed: January 3, 2008
    Publication date: May 1, 2008
    Inventors: GREGORY MYERS, Robert Bolles, Quang-Tuan Luong, James Herson
  • Patent number: 7333676
    Abstract: An apparatus and a concomitant method for detecting and recognizing text information in a captured imagery. The present method transforms the image of the text to a normalized coordinate system before performing OCR, thereby yielding more robust recognition performance. The present invention also combines OCR results from multiple frames, in a manner that takes the best recognition results from each frame and forms a single result that can be more accurate than the results from any of the individual frames.
    Type: Grant
    Filed: January 11, 2006
    Date of Patent: February 19, 2008
    Assignee: SRI International
    Inventors: Gregory K. Myers, Robert C. Bolles, Quang-Tuan Luong, James A. Herson
  • Publication number: 20060120629
    Abstract: An apparatus and a concomitant method for detecting and recognizing text information in a captured imagery. The present method transforms the image of the text to a normalized coordinate system before performing OCR, thereby yielding more robust recognition performance. The present invention also combines OCR results from multiple frames, in a manner that takes the best recognition results from each frame and forms a single result that can be more accurate than the results from any of the individual frames.
    Type: Application
    Filed: January 11, 2006
    Publication date: June 8, 2006
    Inventors: Gregory Myers, Robert Bolles, Quang-Tuan Luong, James Herson
  • Patent number: 7031553
    Abstract: An apparatus and a concomitant method for detecting and recognizing text information in a captured imagery. The present method transforms the image of the text to a normalized coordinate system before performing OCR, thereby yielding more robust recognition performance. The present invention also combines OCR results from multiple frames, in a manner that takes the best recognition results from each frame and forms a single result that can be more accurate than the results from any of the individual frames.
    Type: Grant
    Filed: June 29, 2001
    Date of Patent: April 18, 2006
    Assignee: SRI International
    Inventors: Gregory K. Myers, Robert C. Bolles, Quang-Tuan Luong, James A. Herson
  • Patent number: 6963662
    Abstract: The present invention provides a method for reliably detecting change in the 3-D shape of objects. It uses an estimate of the accuracy of the 3-D models derived from a set of images taken simultaneously. This accuracy estimate is used to distinguish between significant and insignificant changes in 3-D models derived from different image sets. In one embodiment of the present invention, the accuracy of the 3-D model is estimated using self-consistency methodology for estimating the accuracy of computer vision algorithms. In another embodiment of the present invention, resampling theory is used to compare the mean or median elevation for each change in the models. This methodology allows for estimating, for a given 3-D reconstruction algorithm and class of scenes, the expected variation in the 3-D reconstruction of objects as a function of viewing geometry and local image-matching quality (referred to as a “score”).
    Type: Grant
    Filed: November 15, 2000
    Date of Patent: November 8, 2005
    Assignee: SRI International
    Inventors: Yvan G. LeClerc, Quang-Tuan Luong, Pascal V. Fua
  • Patent number: 6834120
    Abstract: The present invention provides a method for measuring the self-consistency of inference algorithms. The present invention provides a method for measuring the accuracy of an inference algorithm that does not require comparison to ground truth. Rather, the present invention pertains to a method for measuring the accuracy of an inference algorithm by comparing the outputs of the inference algorithm against each other. Essentially, the present invention looks at how well the algorithm applied to many of the different observations gives the same answer. In particular, the present invention provides a method that is not time and labor intensive and is cost effective.
    Type: Grant
    Filed: November 15, 2000
    Date of Patent: December 21, 2004
    Assignee: SRI International
    Inventors: Yvan G. LeClerc, Quang-Tuan Luong, Pascal Fua
  • Publication number: 20020051575
    Abstract: An apparatus and a concomitant method for detecting and recognizing text information in a captured imagery. The present method transforms the image of the text to a normalized coordinate system before performing OCR, thereby yielding more robust recognition performance. The present invention also combines OCR results from multiple frames, in a manner that takes the best recognition results from each frame and forms a single result that can be more accurate than the results from any of the individual frames.
    Type: Application
    Filed: June 29, 2001
    Publication date: May 2, 2002
    Inventors: Gregory K. Myers, Robert C. Bolles, Quang-Tuan Luong, James A. Herson
  • Patent number: RE42999
    Abstract: The present invention provides a method for measuring the self-consistency of inference algorithms. The present invention provides a method for measuring the accuracy of an inference algorithm that does not require comparison to ground truth. Rather, the present invention pertains to a method for measuring the accuracy of an inference algorithm by comparing the outputs of the inference algorithm against each other. Essentially, the present invention looks at how well the algorithm applied to many of the different observations gives the same answer. In particular, the present invention provides a method that is not time and labor intensive and is cost effective.
    Type: Grant
    Filed: December 21, 2006
    Date of Patent: December 6, 2011
    Assignee: Transpacific Kodex, LLC
    Inventors: Yvan G. LeClerc, Margaret Frances Davies, legal representative, Quang-Tuan Luong, Pascal Fua