Patents by Inventor Hitoshi Imaoka

Hitoshi Imaoka 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: 20140093142
    Abstract: Disclosed is an information processing apparatus capable of performing face recognition with high accuracy. An information processing apparatus, comprising: generation means for generating, based on an original facial image, a plurality of facial images, each of the facial images corresponds to the original facial image facing to a different direction each other; feature value extraction means for extracting feature values of the facial images based on the plurality of facial images generated by the generation means; feature value synthesis means for generating a synthesized feature value by synthesizing the feature values which are extracted by the feature value extraction means; and recognition means for performing face recognition based on the synthesized feature value.
    Type: Application
    Filed: May 24, 2012
    Publication date: April 3, 2014
    Applicant: NEC CORPORATION
    Inventors: Akihiro Hayasaka, Hitoshi Imaoka
  • Patent number: 8553983
    Abstract: A personal authentication system according to the present invention includes a matrix generation unit, a feature extraction unit, a feature transformation unit, a processing unit, and a data matching unit. The matrix generation unit classifies a plurality of feature amounts of face image data, which are recorded in advance, into classes and calculates as a mapping matrix, coefficients of a linear discriminant equation which uses the recorded plurality of feature amounts as variables. The feature extraction unit extracts a first feature amount from first face image data and extracts a second feature amount from second face image data. The feature transformation unit, by using the mapping matrix, transforms the first feature amount into a first transformed feature amount and transforms the second feature amount into a second transformed feature amount.
    Type: Grant
    Filed: July 6, 2009
    Date of Patent: October 8, 2013
    Assignee: NEC Corporation
    Inventor: Hitoshi Imaoka
  • Patent number: 8531514
    Abstract: A terminal has a visual axis by using which a user points to a target object. An information generating server acquires an internal image or an external image of the target object pointed by a user, and generates a display image which is displayed on the terminal.
    Type: Grant
    Filed: September 18, 2008
    Date of Patent: September 10, 2013
    Assignee: NEC Corporation
    Inventors: Motoaki Shimizu, Hitoshi Imaoka, Keiichi Chono, Fumihiro Adachi, Satoshi Nakazawa, Shin Ishiguro, Masayuki Yuguchi
  • Patent number: 8121357
    Abstract: [PROBLEMS] To provide a feature extracting method for quickly extracting a feature while preventing lowering of the identification performance of the kernel judgment analysis, a feature extracting system, and a feature extracting program. [MEANS FOR SOLVING PROBLEMS] Judgment feature extracting device (104) computes an interclass covariance matrix SB and an intraclass covariance matrix SW about a learning face image prepared in advance, determines optimum vectors ?, ? which maximizes the ratio of the interclass covariance to the intraclass covariance, derives a conversion formula for converting an inputted frequency feature vector x into a frequency feature vector y in a judgment space, and extracts judgment features of a face image for record and a face image for check by using a restructured conversion formula. Similarity computing device (105) computes the similarity by comparing the judgment features.
    Type: Grant
    Filed: October 23, 2006
    Date of Patent: February 21, 2012
    Assignee: NEC Corporation
    Inventor: Hitoshi Imaoka
  • Publication number: 20110135167
    Abstract: A personal authentication system according to the present invention includes a matrix generation unit, a feature extraction unit, a feature transformation unit, a processing unit, and a data matching unit. The matrix generation unit classifies a plurality of feature amounts of face image data, which are recorded in advance, into classes and calculates as a mapping matrix, coefficients of a linear discriminant equation which uses the recorded plurality of feature amounts as variables. The feature extraction unit extracts a first feature amount from first face image data and extracts a second feature amount from second face image data. The feature transformation unit, by using the mapping matrix, transforms the first feature amount into a first transformed feature amount and transforms the second feature amount into a second transformed feature amount.
    Type: Application
    Filed: July 6, 2009
    Publication date: June 9, 2011
    Applicant: NEC CORPORATION
    Inventor: Hitoshi Imaoka
  • Publication number: 20110002511
    Abstract: A mole identifying method having the following steps: inputting a multispectral image photographed using an imaging device and composed of a plurality of spectra; detecting mole candidates from said multispectral image; and identifying said mole candidates as a true mole or false mole based on the absorption spectra of said detected mole candidates.
    Type: Application
    Filed: February 6, 2009
    Publication date: January 6, 2011
    Inventor: Hitoshi Imaoka
  • Patent number: 7860340
    Abstract: A 3D shape estimation system has a storage device, a relative shape analysis module, a feature point location search module and an absolute shape analysis module. The storage device stores first and second learning data which represent illumination bases and 3D shapes of objects, respectively. The relative shape analysis module calculates an “illumination basis” of an object based on a 2D image of the object and the first learning data, calculates a “relative shape function” that is partial differential of a “shape function” indicating a 3D shape of the object from the illumination basis, and outputs a relative shape data indicating the relative shape function. The feature point location search module extracts a plurality of feature points from the input 2D face image based on the 2D image and the relative shape data, and outputs a feature point location data indicating locations of the feature points.
    Type: Grant
    Filed: November 1, 2005
    Date of Patent: December 28, 2010
    Assignee: NEC Corporation
    Inventors: Atsushi Marugame, Hitoshi Imaoka
  • Publication number: 20100214400
    Abstract: A terminal, information generating servers and a positional information server are provided. The information generating servers are installed in respectively corresponding to a plurality of objects. Each object may be divided into small blocks as one or more spatial regions and a case is included in which the block is the small block. One or more image acquisition cameras are provided which acquire an internal image of each object or an external image in which surroundings of each object are seen from the object. A display image to be transmitted to the terminal is generated from the internal image or the external image of each object based on at least one of terminal positional information indicating a position of the terminal and terminal directional information indicating a direction of the terminal. While pointing a to-be-identified target object among the objects, the terminal detects, detects the terminal positional information and the terminal directional information.
    Type: Application
    Filed: September 18, 2008
    Publication date: August 26, 2010
    Inventors: Motoaki Shimizu, Hitoshi Imaoka, Keiichi Chono, Fumihiro Adachi, Satoshi Nakazawa, Shin Ishiguro, Masayuki Yuguchi
  • Patent number: 7634140
    Abstract: Feature decision means (303) decides a set of features appropriate for pattern identification from a plenty of feature candidates generated by feature candidate generation means (302) by using learning patterns stored in learning, pattern storage means (301). The feature decision means (303) successively decides features according to a reference of information maximization under the condition that the decided feature is known while adding an effective noise to the learning pattern and performs information amount calculation approximately and at a high speed while merging the learning patterns into a set of N elements when required. As a result, it is possible to automatically create a feature set appropriate for pattern identification of a high performance without requiring enormous learning. Moreover, by using a transition table (305) containing transitions between sets, it is possible to perform pattern judgment with a high efficiency.
    Type: Grant
    Filed: February 27, 2003
    Date of Patent: December 15, 2009
    Assignee: NEC Corporation
    Inventors: Kenji Okajima, Hitoshi Imaoka, Masanobu Miyasita
  • Publication number: 20090258667
    Abstract: There is provided a function unlocking system using highly-convenient face authentication with high accuracy for an information processing terminal. In the function unlocking system, a face authentication section carries out face authentication by using a face image of the user that is obtained by an image pickup section, with key input carried out by the user through a key input section as a trigger. Along with the above, a key input content determination section determines whether a pattern of input key input matches with a pattern registered in advance or not. Then, an unlocking determining section determines whether a lock is to be released or not on the basis of a result of the face authentication by the face authentication section and a result of key input determination by a key input content determination section. In case the unlocking determining section determines that a lock is to be released, a function locking section releases the lock.
    Type: Application
    Filed: April 13, 2007
    Publication date: October 15, 2009
    Inventors: Tetsuaki Suzuki, Atsushi Sato, Hitoshi Imaoka
  • Publication number: 20090123077
    Abstract: [PROBLEMS] To provide a feature extracting method for quickly extracting a feature while preventing lowering of the identification performance of the kernel judgment analysis, a feature extracting system, and a feature extracting program. [MEANS FOR SOLVING PROBLEMS] Judgment feature extracting device (104) computes an interclass covariance matrix SB and an intraclass covariance matrix SW about a learning face image prepared in advance, determines optimum vectors ?, ? which maximizes the ratio of the interclass covariance to the intraclass covariance, derives a conversion formula for converting an inputted frequency feature vector x into a frequency feature vector y in a judgment space, and extracts judgment features of a face image for record and a face image for check by using a restructured conversion formula. Similarity computing device (105) computes the similarity by comparing the judgment features.
    Type: Application
    Filed: October 23, 2006
    Publication date: May 14, 2009
    Applicant: NEC CORPORATION
    Inventor: Hitoshi Imaoka
  • Publication number: 20090087036
    Abstract: A variation image generation means generates a plurality of variation images having different postures, facial positions, and sizes with respect to a normalized image. A characteristic extraction means extracts a frequency characteristic from the plurality of variation images. A discriminant space projection means projects the frequency characteristic on a discriminant space having high discriminant ability that is obtained by linear discriminant analysis. A reference person comparison means performs a reference person comparison to extract a highly discriminant characteristic. A discriminant characteristic is extracted for a match image using the characteristic extraction means and the discriminant space projection means. A score computation means uses a discriminant axis obtained from a registered image, and the discriminant characteristic obtained from the match image to output a match score.
    Type: Application
    Filed: May 25, 2006
    Publication date: April 2, 2009
    Applicant: NEC CORPORATION
    Inventor: Hitoshi Imaoka
  • Publication number: 20080008399
    Abstract: A 3D shape estimation system has a storage device, a relative shape analysis module, a feature point location search module and an absolute shape analysis module. The storage device stores first and second learning data which represent illumination bases and 3D shapes of objects, respectively. The relative shape analysis module calculates an “illumination basis” of an object based on a 2D image of the object and the first learning data, calculates a “relative shape function” that is partial differential of a “shape function” indicating a 3D shape of the object from the illumination basis, and outputs a relative shape data indicating the relative shape function. The feature point location search module extracts a plurality of feature points from the input 2D face image based on the 2D image and the relative shape data, and outputs a feature point location data indicating locations of the feature points.
    Type: Application
    Filed: November 1, 2005
    Publication date: January 10, 2008
    Applicant: NEC Corporation
    Inventors: Atsushi Marugame, Hitoshi Imaoka
  • Publication number: 20050169516
    Abstract: Feature decision means (303) decides a set of features appropriate for pattern identification from a plenty of feature candidates generated by feature candidate generation means (302) by using learning patterns stored in learning, pattern storage means (301). The feature decision means (303) successively decides features according to a reference of information maximization under the condition that the decided feature is known while adding an effective noise to the learning pattern and performs information amount calculation approximately and at a high speed while merging the learning patterns into a set of N elements when required. As a result, it is possible to automatically create a feature set appropriate for pattern identification of a high performance without requiring enormous learning. Moreover, by using a transition table (305) containing transitions between sets, it is possible to perform pattern judgment with a high efficiency.
    Type: Application
    Filed: February 27, 2003
    Publication date: August 4, 2005
    Inventors: Kenji Okajima, Hitoshi Imaoka, Masanobu Miyasita