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Andrew William Fitzgibbon patents

Recent patents with Andrew William Fitzgibbon listed as an inventor - additional entries may be under other spellings.


Andrew William Fitzgibbon - Related organizations: Microsoft Technology Licensing, Llc patents, Microsoft Corporation patents

Human body pose estimation

06/16/16 - 20160171295 - Techniques for human body pose estimation are disclosed herein. Depth map images from a depth camera may be processed to calculate a probability that each pixel of the depth map is associated with one or more segments or body parts of a body. Body parts may then be constructed of
Inventors: Jamie Daniel Joseph Shotton, Andrew William Fitzgibbon

Model fitting from raw time-of-flight images

05/05/16 - 20160127715 - Model fitting from raw time of flight image data is described, for example, to track position and orientation of a human hand or other entity. In various examples, raw image data depicting the entity is received from a time of flight camera. A 3D model of the entity is accessed
Inventors: Jamie Daniel Joseph Shotton, Toby Sharp, Jonathan James Taylor, Pushmeet Kohli, Shahram Izadi, Andrew William Fitzgibbon, Reinhard Sebastian Bernhard Nowozin

Depth from time of flight camera

04/14/16 - 20160104031 - Region of interest detection in raw time of flight images is described. For example, a computing device receives at least one raw image captured for a single frame by a time of flight camera. The raw image depicts one or more objects in an environment of the time of flight
Inventors: Jamie Daniel Joseph Shotton, Cem Keskin, Christoph Rhemann, Toby Sharp, Duncan Paul Robertson, Pushmeet Kohli, Andrew William Fitzgibbon, Shahram Izadi

Tracking hand pose using forearm-hand model

03/24/16 - 20160086349 - Tracking hand pose from image data is described, for example, to control a natural user interface or for augmented reality. In various examples an image is received from a capture device, the image depicting at least one hand in an environment. For example, a hand tracker accesses a 3D model
Inventors: Jamie Daniel Joseph Shotton, Duncan Paul Robertson, Jonathan James Taylor, Cem Keskin, Shahram Izadi, Andrew William Fitzgibbon

Pose tracker with multi threaded architecture

03/24/16 - 20160086025 - Tracking pose of an articulated entity from image data is described, for example, to control a game system, natural user interface or for augmented reality. In various examples a plurality of threads execute on a parallel computing unit, each thread processing data from an individual frame of a plurality of
Inventors: Jamie Daniel Joseph Shotton, Toby Sharp, Duncan Paul Robertson, Andrew William Fitzgibbon

Tracking hand/body pose

03/24/16 - 20160085310 - Tracking hand or body pose from image data is described, for example, to control a game system, natural user interface or for augmented reality. In various examples a prediction engine takes a single frame of image data and predicts a distribution over a pose of a hand or body depicted
Inventors: Jamie Daniel Joseph Shotton, Cem Keskin, Jonathan James Taylor, Toby Sharp, Shahram Izadi, Andrew William Fitzgibbon, Pushmeet Kohli, Duncan Paul Robertson

Tracking using sensor data

12/03/15 - 20150347846 - Tracking using sensor data is described, for example, where a plurality of machine learning predictors are used to predict a plurality of complementary, or diverse, parameter values of a process describing how the sensor data arises. In various examples a selector selects which of the predicted values are to be
Inventors: Abner GuzmÁn-rivera, Pushmeet Kohli, Benjamin Michael Glocker, Jamie Daniel Joseph Shotton, Shahram Izadi, Toby Sharp, Andrew William Fitzgibbon

Image demosaicing

07/30/15 - 20150215590 - Image demosaicing is described, for example, to enable raw image sensor data, where image elements have intensity values in only one of three color channels, to be converted into a color image where image elements have intensity values in three color channels. In various embodiments a trained machine learning component
Inventors: Reinhard Sebastian Bernhard Nowozin, Danyal Khashabi, Jeremy Martin Jancsary, Bruce Justin Lindbloom, Andrew William Fitzgibbon

Speckle sensing for motion tracking

02/12/15 - 20150043770 - Speckle sensing for motion tracking is described, for example, to track a user's finger or head in an environment to control a graphical user interface, to track a hand-held device, to track digits of a hand for gesture-based control, and to track 3D motion of other objects or parts of
Inventors: Nicholas Yen-cherng Chen, Stephen Edward Hodges, Andrew William Fitzgibbon, Andrew Clark Goris, Brian Lee Hastings, Shahram Izadi

Camera/object pose from predicted coordinates

08/28/14 - 20140241617 - Camera or object pose calculation is described, for example, to relocalize a mobile camera (such as on a smart phone) in a known environment or to compute the pose of an object moving relative to a fixed camera. The pose information is useful for robotics, augmented reality, navigation and other
Inventors: Jamie Daniel Joseph Shotton, Benjamin Michael Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, Andrew William Fitzgibbon

Camera pose estimation for 3d reconstruction

07/24/14 - 20140206443 - Camera pose estimation for 3D reconstruction is described, for example, to enable position and orientation of a depth camera moving in an environment to be tracked for robotics, gaming and other applications. In various embodiments, depth observations from the mobile depth camera are aligned with surfaces of a 3D model
Inventors: Toby Sharp, Andrew William Fitzgibbon, Shahram Izadi

Animating objects using the human body

02/06/14 - 20140035901 - Methods of animating objects using the human body are described. In an embodiment, a deformation graph is generated from a mesh which describes the object. Tracked skeleton data is received which is generated from sensor data and the tracked skeleton is then embedded in the graph. Subsequent motion which is
Inventors: Jiawen Chen, Shahram Izadi, Andrew William Fitzgibbon

Human body pose estimation

10/10/13 - 20130266182 - Techniques for human body pose estimation are disclosed herein. Depth map images from a depth camera may be processed to calculate a probability that each pixel of the depth map is associated with one or more segments or body parts of a body. Body parts may then be constructed of
Inventors: Jamie Daniel Joseph Shotton, Andrew William Fitzgibbon

Computing pose and/or shape of modifiable entities

05/23/13 - 20130129230 - Computing pose and/or shape of a modifiable entity is described. In various embodiments a model of an entity (such as a human hand, a golf player holding a golf club, an animal, a body organ) is fitted to an image depicting an example of the entity in a particular pose
Inventors: Jamie Daniel Joseph Shotton, Andrew William Fitzgibbon, Jonathan James Taylor, Matthew Darius Cook

Distributed decision tree training

12/15/11 - 20110307423 - A computerized decision tree training system may include a distributed control processing unit configured to receive input of training data for training a decision tree. The system may further include a plurality of data batch processing units, each data batch processing unit being configured to evaluate each of a plurality
Inventors: Jamie Shotton, Mihai-dan Budiu, Andrew William Fitzgibbon, Mark Finocchio, Richard E. Moore, Duncan Robertson

Human body pose estimation

09/01/11 - 20110210915 - Techniques for human body pose estimation are disclosed herein. Images such as depth images, silhouette images, or volumetric images may be generated and pixels or voxels of the images may be identified. The techniques may process the pixels or voxels to determine a probability that each pixel or voxel is
Inventors: Jamie Daniel Joseph Shotton, Shahram Izadi, Otmar Hilliges, David Kim, David Geoffrey Molyneaux, Matthew Darius Cook, Pushmeet Kohli, Antonio Criminisi, Ross Brook Girshick, Andrew William Fitzgibbon

Human body pose estimation

11/04/10 - 20100278384 - Techniques for human body pose estimation are disclosed herein. Depth map images from a depth camera may be processed to calculate a probability that each pixel of the depth map is associated with one or more segments or body parts of a body. Body parts may then be constructed of
Inventors: Jamie Daniel Joseph Shotton, Andrew William Fitzgibbon


### Andrew William Fitzgibbon patent invention listings

The bibliographic references displayed about Andrew William Fitzgibbon's patents are for a recent sample of Andrew William Fitzgibbon's publicly published patent applications. The inventor/author may have additional bibliographic citations listed at the USPTO.gov. FreshPatents.com is not associated or affiliated in any way with the author/inventor or the United States Patent/Trademark Office but is providing this non-comprehensive sample listing for educational and research purposes using public bibliographic data published and disseminated from the United States Patent/Trademark Office public datafeed. This information is also available for free on the USPTO.gov website. If Andrew William Fitzgibbon filed recent patent applications under another name, spelling or location then those applications could be listed on an alternate page. If no bibliographic references are listed here, it is possible there are no recent filings or there is a technical issue with the listing--in that case, we recommend doing a search on the USPTO.gov website.

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