Patents by Inventor Andrew W. Fitzgibbon
Andrew W. Fitzgibbon 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).
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Patent number: 10761612Abstract: In one or more implementations, a static geometry model is generated, from one or more images of a physical environment captured using a camera, using one or more static objects to model corresponding one or more objects in the physical environment. Interaction of a dynamic object with at least one of the static objects is identified by analyzing at least one image and a gesture is recognized from the identified interaction of the dynamic object with the at least one of the static objects to initiate an operation of the computing device.Type: GrantFiled: May 15, 2019Date of Patent: September 1, 2020Assignee: Microsoft Technology Licensing, LLCInventors: David Kim, Otmar D. Hilliges, Shahram Izadi, Patrick L. Olivier, Jamie Daniel Joseph Shotton, Pushmeet Kohli, David G. Molyneaux, Stephen E. Hodges, Andrew W. Fitzgibbon
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Publication number: 20190278380Abstract: In one or more implementations, a static geometry model is generated, from one or more images of a physical environment captured using a camera, using one or more static objects to model corresponding one or more objects in the physical environment. Interaction of a dynamic object with at least one of the static objects is identified by analyzing at least one image and a gesture is recognized from the identified interaction of the dynamic object with the at least one of the static objects to initiate an operation of the computing device.Type: ApplicationFiled: May 15, 2019Publication date: September 12, 2019Applicant: Microsoft Technology Licensing, LLCInventors: David Kim, Otmar D. Hilliges, Shahram Izadi, Patrick L. Olivier, Jamie Daniel Joseph Shotton, Pushmeet Kohli, David G. Molyneaux, Stephen E. Hodges, Andrew W. Fitzgibbon
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Patent number: 10331222Abstract: In one or more implementations, a static geometry model is generated, from one or more images of a physical environment captured using a camera, using one or more static objects to model corresponding one or more objects in the physical environment. Interaction of a dynamic object with at least one of the static objects is identified by analyzing at least one image and a gesture is recognized from the identified interaction of the dynamic object with the at least one of the static objects to initiate an operation of the computing device.Type: GrantFiled: May 24, 2016Date of Patent: June 25, 2019Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: David Kim, Otmar D. Hilliges, Shahram Izadi, Patrick L. Olivier, Jamie Daniel Joseph Shotton, Pushmeet Kohli, David G. Molyneaux, Stephen E. Hodges, Andrew W. Fitzgibbon
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Publication number: 20160370867Abstract: In one or more implementations, a static geometry model is generated, from one or more images of a physical environment captured using a camera, using one or more static objects to model corresponding one or more objects in the physical environment. Interaction of a dynamic object with at least one of the static objects is identified by analyzing at least one image and a gesture is recognized from the identified interaction of the dynamic object with the at least one of the static objects to initiate an operation of the computing device.Type: ApplicationFiled: May 24, 2016Publication date: December 22, 2016Applicant: Microsoft Technology Licensing, LLCInventors: David Kim, Otmar D. Hilliges, Shahram Izadi, Patrick L. Olivier, Jamie Daniel Joseph Shotton, Pushmeet Kohli, David G. Molyneaux, Stephen E. Hodges, Andrew W. Fitzgibbon
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Patent number: 9372544Abstract: In one or more implementations, a static geometry model is generated, from one or more images of a physical environment captured using a camera, using one or more static objects to model corresponding one or more objects in the physical environment. Interaction of a dynamic object with at least one of the static objects is identified by analyzing at least one image and a gesture is recognized from the identified interaction of the dynamic object with the at least one of the static objects to initiate an operation of the computing device.Type: GrantFiled: May 16, 2014Date of Patent: June 21, 2016Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: David Kim, Otmar D. Hilliges, Shahram Izadi, Patrick L. Olivier, Jamie Daniel Joseph Shotton, Pushmeet Kohli, David G. Molyneaux, Stephen E. Hodges, Andrew W. Fitzgibbon
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Publication number: 20140247212Abstract: In one or more implementations, a static geometry model is generated, from one or more images of a physical environment captured using a camera, using one or more static objects to model corresponding one or more objects in the physical environment. Interaction of a dynamic object with at least one of the static objects is identified by analyzing at least one image and a gesture is recognized from the identified interaction of the dynamic object with the at least one of the static objects to initiate an operation of the computing device.Type: ApplicationFiled: May 16, 2014Publication date: September 4, 2014Applicant: Microsoft CorporationInventors: David Kim, Otmar D. Hilliges, Shahram Izadi, Patrick L. Olivier, Jamie Daniel Joseph Shotton, Pushmeet Kohli, David G. Molyneaux, Stephen E. Hodges, Andrew W. Fitzgibbon
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Patent number: 8760395Abstract: In one or more implementations, a static geometry model is generated, from one or more images of a physical environment captured using a camera, using one or more static objects to model corresponding one or more objects in the physical environment. Interaction of a dynamic object with at least one of the static objects is identified by analyzing at least one image and a gesture is recognized from the identified interaction of the dynamic object with the at least one of the static objects to initiate an operation of the computing device.Type: GrantFiled: May 31, 2011Date of Patent: June 24, 2014Assignee: Microsoft CorporationInventors: David Kim, Otmar D. Hilliges, Shahram Izadi, Patrick L. Olivier, Jamie Daniel Joseph Shotton, Pushmeet Kohli, David G. Molyneaux, Stephen E. Hodges, Andrew W. Fitzgibbon
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Publication number: 20120306734Abstract: In one or more implementations, a static geometry model is generated, from one or more images of a physical environment captured using a camera, using one or more static objects to model corresponding one or more objects in the physical environment. Interaction of a dynamic object with at least one of the static objects is identified by analyzing at least one image and a gesture is recognized from the identified interaction of the dynamic object with the at least one of the static objects to initiate an operation of the computing device.Type: ApplicationFiled: May 31, 2011Publication date: December 6, 2012Applicant: MICROSOFT CORPORATIONInventors: David Kim, Otmar D. Hilliges, Shahram Izadi, Patrick L. Olivier, Jamie Daniel Joseph Shotton, Pushmeet Kohli, David G. Molyneaux, Stephen E. Hodges, Andrew W. Fitzgibbon
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Publication number: 20090237356Abstract: A pointing system uses a hologram or a lenticular image that may be affixed to a pointing device such as a game controller. The hologram may comprise a holographic image and may display a pattern that changes rapidly and predictably as the position of the pointing device changes. The hologram may be a reflection hologram or a transmission hologram. A light sensing device not on the controller captures the movement and appearance of the hologram and provides information to a computing device. The computing device processes the appearance information to determine an orientation of the pointing device, and based on the orientation, changes the position of a cursor on a display.Type: ApplicationFiled: March 24, 2008Publication date: September 24, 2009Applicant: MICROSOFT CORPORATIONInventors: Oliver M. C. Williams, Andrew W. Fitzgibbon
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Publication number: 20080291282Abstract: Online camera calibration methods have been proposed whereby calibration information is extracted from the images that the system captures during normal operation and is used to continually update system parameters. However, such existing methods do not cope well with structure-poor scenes having little texture and/or 3D structure such as in a home or office environment. By considering camera families (a set of cameras that are manufactured at least partially in a common manner) it is possible to provide calibration methods which are suitable for use with structure-poor scenes. A prior distribution of camera parameters for a family of cameras is estimated and used to obtain accurate calibration results for individual cameras of the camera family even where the calibration is carried out online, in an environment which is structure-poor.Type: ApplicationFiled: May 22, 2007Publication date: November 27, 2008Applicant: Microsoft CorporationInventors: Andrew W. Fitzgibbon, Antonio Criminisi, Srikumar Ramalingam