Patents by Inventor Kostas Daniilidis

Kostas Daniilidis 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: 20230059839
    Abstract: A stored volumetric scene model of a real scene is generated from data defining digital images of a light field in a real scene containing different types of media. The digital images have been formed by a camera from opposingly directed poses and each digital image contains image data elements defined by stored data representing light field flux received by light sensing detectors in the camera. The digital images are processed by a scene reconstruction engine to form a digital volumetric scene model representing the real scene. The volumetric scene model (i) contains volumetric data elements defined by stored data representing one or more media characteristics and (ii) contains solid angle data elements defined by stored data representing the flux of the light field. Adjacent volumetric data elements form corridors, at least one of the volumetric data elements in at least one corridor represents media that is partially light transmissive.
    Type: Application
    Filed: October 18, 2022
    Publication date: February 23, 2023
    Inventors: David Scott ACKERSON, Donald J. MEAGHER, John K. LEFFINGWELL, Kostas DANIILIDIS
  • Patent number: 11508115
    Abstract: A stored volumetric scene model of a real scene is generated from data defining digital images of a light field in a real scene containing different types of media. The digital images have been formed by a camera from opposingly directed poses and each digital image contains image data elements defined by stored data representing light field flux received by light sensing detectors in the camera. The digital images are processed by a scene reconstruction engine to form a digital volumetric scene model representing the real scene. The volumetric scene model (i) contains volumetric data elements defined by stored data representing one or more media characteristics and (ii) contains solid angle data elements defined by stored data representing the flux of the light field. Adjacent volumetric data elements form corridors, at least one of the volumetric data elements in at least one corridor represents media that is partially light transmissive.
    Type: Grant
    Filed: November 14, 2019
    Date of Patent: November 22, 2022
    Assignee: QUIDIENT, LLC
    Inventors: David Scott Ackerson, Donald J. Meagher, John K. Leffingwell, Kostas Daniilidis
  • Patent number: 10991036
    Abstract: A method for automatically mapping a store layout includes identifying a path for traversing a retail area and capturing images of the retail area at various points along the path. The images may be analyzed to identify visual characteristics which may be compared to a template of retail products in a template library. When an object depicted in the image matches with a retail product in the template library, the object may correspond to the retail product. Additionally, a retail department for the object may also be identified. The retail department may be compared to the retail product corresponding to the object, and when the retail product is not associated with the retail department, another retail product which is associated with the retail department may be identified as corresponding to the object. A map of the store layout may be generated based on the identified retail products.
    Type: Grant
    Filed: May 26, 2020
    Date of Patent: April 27, 2021
    Assignees: WALGREEN CO., The Trustees of the University of Pennsylvania
    Inventors: John M. Bergstrom, Jonas Cleveland, Dinesh Thakur, Philip Dames, Cody Philips, Terry Kientz, Kostas Daniilidis, Vijay Kumar
  • Patent number: 10733661
    Abstract: A method for automatically mapping a store layout includes identifying a path for traversing a retail area and capturing images of the retail area at various points along the path. The images may be analyzed to identify visual characteristics which may be compared to a template of retail products in a template library. When an object depicted in the image matches with a retail product in the template library, the object may correspond to the retail product. Additionally, a retail department for the object may also be identified. The retail department may be compared to the retail product corresponding to the object, and when the retail product is not associated with the retail department, another retail product which is associated with the retail department may be identified as corresponding to the object. A map of the store layout may be generated based on the identified retail products.
    Type: Grant
    Filed: May 18, 2016
    Date of Patent: August 4, 2020
    Assignees: WALGREEN CO., The Trustees of the University of Pennsylvania
    Inventors: John M. Bergstrom, Jonas Cleveland, Dinesh Thakur, Philip Dames, Cody Philips, Terry Kientz, Kostas Daniilidis, Vijay Kumar
  • Publication number: 20200082597
    Abstract: A stored volumetric scene model of a real scene is generated from data defining digital images of a light field in a real scene containing different types of media. The digital images have been formed by a camera from opposingly directed poses and each digital image contains image data elements defined by stored data representing light field flux received by light sensing detectors in the camera. The digital images are processed by a scene reconstruction engine to form a digital volumetric scene model representing the real scene. The volumetric scene model (i) contains volumetric data elements defined by stored data representing one or more media characteristics and (ii) contains solid angle data elements defined by stored data representing the flux of the light field. Adjacent volumetric data elements form corridors, at least one of the volumetric data elements in at least one corridor represents media that is partially light transmissive.
    Type: Application
    Filed: November 14, 2019
    Publication date: March 12, 2020
    Inventors: David Scott ACKERSON, Donald J. MEAGHER, John K. LEFFINGWELL, Kostas DANIILIDIS
  • Patent number: 10521952
    Abstract: A stored volumetric scene model of a real scene is generated from data defining digital images of a light field in a real scene containing different types of media. The digital images have been formed by a camera from opposingly directed poses and each digital image contains image data elements defined by stored data representing light field flux received by light sensing detectors in the camera. The digital images are processed by a scene reconstruction engine to form a digital volumetric scene model representing the real scene. The volumetric scene model (i) contains volumetric data elements defined by stored data representing one or more media characteristics and (ii) contains solid angle data elements defined by stored data representing the flux of the light field. Adjacent volumetric data elements form corridors, at least one of the volumetric data elements in at least one corridor represents media that is partially light transmissive.
    Type: Grant
    Filed: April 11, 2017
    Date of Patent: December 31, 2019
    Assignee: Quidient, LLC
    Inventors: David Scott Ackerson, Donald J. Meagher, John K. Leffingwell, Kostas Daniilidis
  • Patent number: 10318907
    Abstract: A method for automatically mapping a store layout includes identifying a path for traversing a retail area and capturing images of the retail area at various points along the path. The images may be analyzed to identify visual characteristics which may be compared to a template of retail products in a template library. When an object depicted in the image matches with a retail product in the template library, the object may correspond to the retail product. Additionally, a retail department for the object may also be identified. The retail department may be compared to the retail product corresponding to the object, and when the retail product is not associated with the retail department, another retail product which is associated with the retail department may be identified as corresponding to the object. A map of the store layout may be generated based on the identified retail products.
    Type: Grant
    Filed: May 18, 2016
    Date of Patent: June 11, 2019
    Assignees: WALGREEN CO., The Trustees of the University of Pennsylvania
    Inventors: John M. Bergstrom, Jonas Cleveland, Dinesh Thakur, Philip Dames, Cody Philips, Terry Kientz, Kostas Daniilidis, Vijay Kumar
  • Publication number: 20190130630
    Abstract: A stored volumetric scene model of a real scene is generated from data defining digital images of a light field in a real scene containing different types of media. The digital images have been formed by a camera from opposingly directed poses and each digital image contains image data elements defined by stored data representing light field flux received by light sensing detectors in the camera. The digital images are processed by a scene reconstruction engine to form a digital volumetric scene model representing the real scene. The volumetric scene model (i) contains volumetric data elements defined by stored data representing one or more media characteristics and (ii) contains solid angle data elements defined by stored data representing the flux of the light field. Adjacent volumetric data elements form corridors, at least one of the volumetric data elements in at least one corridor represents media that is partially light transmissive.
    Type: Application
    Filed: April 11, 2017
    Publication date: May 2, 2019
    Inventors: David Scott ACKERSON, Donald J. MEAGHER, John K. LEFFINGWELL, Kostas DANIILIDIS
  • Patent number: 9761008
    Abstract: The subject matter described herein includes methods for visual odometry using rigid structures identified by an antipodal transform. One exemplary method includes receiving a sequence of images captured by a camera. The method further includes identifying rigid structures in the images using an antipodal transform. The method further includes identifying correspondence between rigid structures in different image frames. The method further includes estimating motion of the camera based on motion of corresponding rigid structures among the different image frames.
    Type: Grant
    Filed: March 7, 2016
    Date of Patent: September 12, 2017
    Assignee: The Trustees of the University of Pennsylvania
    Inventors: Jonas Cleveland, Kostas Daniilidis
  • Publication number: 20160267678
    Abstract: The subject matter described herein includes methods for visual odometry using rigid structures identified by an antipodal transform. One exemplary method includes receiving a sequence of images captured by a camera. The method further includes identifying rigid structures in the images using an antipodal transform. The method further includes identifying correspondence between rigid structures in different image frames. The method further includes estimating motion of the camera based on motion of corresponding rigid structures among the different image frames.
    Type: Application
    Filed: March 7, 2016
    Publication date: September 15, 2016
    Inventors: Jonas Cleveland, Kostas Daniilidis
  • Patent number: 9280832
    Abstract: The subject matter described herein includes methods for visual odometry using rigid structures identified by an antipodal transform. One exemplary method includes receiving a sequence of images captured by a camera. The method further includes identifying rigid structures in the images using an antipodal transform. The method further includes identifying correspondence between rigid structures in different image frames. The method further includes estimating motion of the camera based on motion of corresponding rigid structures among the different image frames.
    Type: Grant
    Filed: May 8, 2015
    Date of Patent: March 8, 2016
    Assignee: The Trustees of the University of Pennsylvania
    Inventors: Jonas Cleveland, Kostas Daniilidis
  • Publication number: 20150325003
    Abstract: The subject matter described herein includes methods for visual odometry using rigid structures identified by an antipodal transform. One exemplary method includes receiving a sequence of images captured by a camera. The method further includes identifying rigid structures in the images using an antipodal transform. The method further includes identifying correspondence between rigid structures in different image frames. The method further includes estimating motion of the camera based on motion of corresponding rigid structures among the different image frames.
    Type: Application
    Filed: May 8, 2015
    Publication date: November 12, 2015
    Inventors: Jonas Cleveland, Kostas Daniilidis
  • Publication number: 20040021766
    Abstract: Provided is a multispectral and omnidirectional imaging sensor and system that produces improved surround awareness, as well as methods of use therefor. The multispectral omnidirectional optical sensor device comprises a series of view and reflecting mirrors for splitting the electromagnetic spectrum into two or more electromagnetic wavelength bands; in combination with a plurality of cameras that are spaced relative to the reflecting mirrors. Each camera senses one of the wavelength bands or the resulting signal passing through the mirrors and creates an image thereof (focussed on the same view), so that each image is automatically registered.
    Type: Application
    Filed: January 31, 2003
    Publication date: February 5, 2004
    Inventors: Kostas Daniilidis, Elli Angelopoulou, Vijay Kumar