Patents by Inventor Alexandru O. Balan
Alexandru O. Balan 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: 10671841Abstract: Attribute state classification techniques are described. In one or more implementations, one or more pixels of an image are classified by a computing device as having one or several states for one or more attributes that do not identify corresponding body parts of a user. A gesture is recognized by the computing device that is operable to initiate one or more operations of the computing device based at least in part of the state classifications of the one or more pixels of one or more attributes.Type: GrantFiled: May 2, 2011Date of Patent: June 2, 2020Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Alexandru O. Balan, Richard E. Moore, Mark J. Finocchio
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Patent number: 10546417Abstract: A system and method of estimating the body shape of an individual from input data such as images or range maps. The body may appear in one or more poses captured at different times and a consistent body shape is computed for all poses. The body may appearin minimal tight-fitting clothing or in normal clothing wherein the described method produces an estimate of the body shape under the clothing. Clothed or bare regions of the body are detected via image classification and the fitting method is adapted to treat each region differently. Body shapes are represented parametrically and are matched to other bodies based on shape similarity and other features. Standard measurements are extracted using parametric or non-parametric functions of body shape. The system components support many applications in body scanning, advertising, social networking, collaborative filtering and Internet clothing shopping.Type: GrantFiled: June 26, 2019Date of Patent: January 28, 2020Assignee: BROWN UNIVERSITYInventors: Michael J. Black, Alexandru O. Balan, Alexander W. Weiss, Leonid Sigal, Matthew M. Loper, Timothy S. St. Clair
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Publication number: 20190333267Abstract: A system and method of estimating the body shape of an individual from input data such as images or range maps. The body may appear in one or more poses captured at different times and a consistent body shape is computed for all poses. The body may appearin minimal tight-fitting clothing or in normal clothing wherein the described method produces an estimate of the body shape under the clothing. Clothed or bare regions of the body are detected via image classification and the fitting method is adapted to treat each region differently. Body shapes are represented parametrically and are matched to other bodies based on shape similarity and other features. Standard measurements are extracted using parametric or non-parametric functions of body shape. The system components support many applications in body scanning, advertising, social networking, collaborative filtering and Internet clothing shopping.Type: ApplicationFiled: June 26, 2019Publication date: October 31, 2019Inventors: Michael J. BLACK, Alexandru O. BALAN, Alexander W. Weiss, Leonid SIGAL, Matthew M. LOPER, Timothy S. ST. CLAIR
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Patent number: 10339706Abstract: A system and method of estimating the body shape of an individual from input data such as images or range maps. The body may appear in one or more poses captured at different times and a consistent body shape is computed for all poses. The body may appear in minimal tight-fitting clothing or in normal clothing wherein the described method produces an estimate of the body shape under the clothing. Clothed or bare regions of the body are detected via image classification and the fitting method is adapted to treat each region differently. Body shapes are represented parametrically and are matched to other bodies based on shape similarity and other features. Standard measurements are extracted using parametric or non-parametric functions of body shape. The system components support many applications in body scanning, advertising, social networking, collaborative filtering and Internet clothing shopping.Type: GrantFiled: June 14, 2018Date of Patent: July 2, 2019Assignee: BROWN UNIVERSITYInventors: Michael J. Black, Alexandru O. Balan, Alexander W. Weiss, Leonid Sigal, Matthew M. Loper, Timothy S. St. Clair
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Publication number: 20180293788Abstract: A system and method of estimating the body shape of an individual from input data such as images or range maps. The body may appear in one or more poses captured at different times and a consistent body shape is computed for all poses. The body may appear in minimal tight-fitting clothing or in normal clothing wherein the described method produces an estimate of the body shape under the clothing. Clothed or bare regions of the body are detected via image classification and the fitting method is adapted to treat each region differently. Body shapes are represented parametrically and are matched to other bodies based on shape similarity and other features. Standard measurements are extracted using parametric or non-parametric functions of body shape. The system components support many applications in body scanning, advertising, social networking, collaborative filtering and Internet clothing shopping.Type: ApplicationFiled: June 14, 2018Publication date: October 11, 2018Inventors: Michael J. BLACK, Alexandru O. BALAN, Alexander W. Weiss, Leonid SIGAL, Matthew M. LOPER, Timothy S. ST. CLAIR
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Patent number: 10002460Abstract: A system and method of estimating the body shape of an individual from input data such as images or range maps. The body may appear in one or more poses captured at different times and a consistent body shape is computed for all poses. The body may appear in minimal tight-fitting clothing or in normal clothing wherein the described method produces an estimate of the body shape under the clothing. Clothed or bare regions of the body are detected via image classification and the fitting method is adapted to treat each region differently. Body shapes are represented parametrically and are matched to other bodies based on shape similarity and other features. Standard measurements are extracted using parametric or non-parametric functions of body shape. The system components support many applications in body scanning, advertising, social networking, collaborative filtering and Internet clothing shopping.Type: GrantFiled: October 16, 2015Date of Patent: June 19, 2018Assignee: BROWN UNIVERSITYInventors: Michael J. Black, Alexandru O. Balan, Alexander W. Weiss, Leonid Sigal, Matthew M. Loper, Timothy S. St. Clair
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Publication number: 20160203361Abstract: A system and method of estimating the body shape of an individual from input data such as images or range maps. The body may appear in one or more poses captured at different times and a consistent body shape is computed for all poses. The body may appear in minimal tight-fitting clothing or in normal clothing wherein the described method produces an estimate of the body shape under the clothing. Clothed or bare regions of the body are detected via image classification and the fitting method is adapted to treat each region differently. Body shapes are represented parametrically and are matched to other bodies based on shape similarity and other features. Standard measurements are extracted using parametric or non-parametric functions of body shape. The system components support many applications in body scanning, advertising, social networking, collaborative filtering and Internet clothing shopping.Type: ApplicationFiled: October 16, 2015Publication date: July 14, 2016Inventors: Michael J. Black, Alexandru O. Balan, Alexander W. Weiss, Leonid Sigal, Matthew M. Loper, Timothy S. St. Clair
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Patent number: 9189886Abstract: A system and method of estimating the body shape of an individual from input data such as images or range maps. The body may appear in one or more poses captured at different times and a consistent body shape is computed for all poses. The body may appear in minimal tight-fitting clothing or in normal clothing wherein the described method produces an estimate of the body shape under the clothing. Clothed or bare regions of the body are detected via image classification and the fitting method is adapted to treat each region differently. Body shapes are represented parametrically and are matched to other bodies based on shape similarity and other features. Standard measurements are extracted using parametric or non-parametric functions of body shape. The system components support many applications in body scanning, advertising, social networking, collaborative filtering and Internet clothing shopping.Type: GrantFiled: August 14, 2009Date of Patent: November 17, 2015Assignee: Brown UniversityInventors: Michael J. Black, Alexandru O. Balan, Alexander W. Weiss, Leonid Sigal, Matthew M. Loper, Timothy S. St. Clair
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Patent number: 8878906Abstract: Technology is described for determining and using invariant features for computer vision. A local orientation may be determined for each depth pixel in a subset of the depth pixels in a depth map. The local orientation may an in-plane orientation, an out-out-plane orientation or both. A local coordinate system is determined for each of the depth pixels in the subset based on the local orientation of the corresponding depth pixel. A feature region is defined relative to the local coordinate system for each of the depth pixels in the subset. The feature region for each of the depth pixels in the subset is transformed from the local coordinate system to an image coordinate system of the depth map. The transformed feature regions are used to process the depth map.Type: GrantFiled: November 28, 2012Date of Patent: November 4, 2014Assignee: Microsoft CorporationInventors: Jamie D. J. Shotton, Mark J. Finocchio, Richard E. Moore, Alexandru O. Balan, Kyungsuk David Lee
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Patent number: 8752963Abstract: The technology provides various embodiments for controlling brightness of a see-through, near-eye mixed display device based on light intensity of what the user is gazing at. The opacity of the display can be altered, such that external light is reduced if the wearer is looking at a bright object. The wearer's pupil size may be determined and used to adjust the brightness used to display images, as well as the opacity of the display. A suitable balance between opacity and brightness used to display images may be determined that allows real and virtual objects to be seen clearly, while not causing damage or discomfort to the wearer's eyes.Type: GrantFiled: November 4, 2011Date of Patent: June 17, 2014Assignee: Microsoft CorporationInventors: Daniel J. McCulloch, Ryan L. Hastings, Kevin A. Geisner, Robert L. Crocco, Alexandru O. Balan, Derek L. Knee, Michael J. Scavezze, Stephen G. Latta, Brian J. Mount
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Publication number: 20140002607Abstract: Technology is described for determining and using invariant features for computer vision. A local orientation may be determined for each depth pixel in a subset of the depth pixels in a depth map. The local orientation may an in-plane orientation, an out-out-plane orientation or both. A local coordinate system is determined for each of the depth pixels in the subset based on the local orientation of the corresponding depth pixel. A feature region is defined relative to the local coordinate system for each of the depth pixels in the subset. The feature region for each of the depth pixels in the subset is transformed from the local coordinate system to an image coordinate system of the depth map. The transformed feature regions are used to process the depth map.Type: ApplicationFiled: November 28, 2012Publication date: January 2, 2014Inventors: Jamie D.J. Shotton, Mark J. Finocchio, Richard E. Moore, Alexandru O. Balan, Kyungsuk David Lee
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Publication number: 20130114043Abstract: The technology provides various embodiments for controlling brightness of a see-through, near-eye mixed display device based on light intensity of what the user is gazing at. The opacity of the display can be altered, such that external light is reduced if the wearer is looking at a bright object. The wearer's pupil size may be determined and used to adjust the brightness used to display images, as well as the opacity of the display. A suitable balance between opacity and brightness used to display images may be determined that allows real and virtual objects to be seen clearly, while not causing damage or discomfort to the wearer's eyes.Type: ApplicationFiled: November 4, 2011Publication date: May 9, 2013Inventors: Alexandru O. Balan, Ryan L. Hastings, Stephen G. Latta, Michael J. Scavezze, Daniel J. McCulloch, Derek L. Knee, Brian J. Mount, Kevin A. Geisner, Robert L. Crocco
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Publication number: 20120314031Abstract: Technology is described for determining and using invariant features for computer vision. A local orientation may be determined for each depth pixel in a subset of the depth pixels in a depth map. The local orientation may an in-plane orientation, an out-out-plane orientation or both. A local coordinate system is determined for each of the depth pixels in the subset based on the local orientation of the corresponding depth pixel. A feature region is defined relative to the local coordinate system for each of the depth pixels in the subset. The feature region for each of the depth pixels in the subset is transformed from the local coordinate system to an image coordinate system of the depth map. The transformed feature regions are used to process the depth map.Type: ApplicationFiled: June 7, 2011Publication date: December 13, 2012Applicant: MICROSOFT CORPORATIONInventors: Jamie D. J. Shotton, Mark J. Finocchio, Richard E. Moore, Alexandru O. Balan, Kyungsuk David Lee
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Publication number: 20120280897Abstract: Attribute state classification techniques are described. In one or more implementations, one or more pixels of an image are classified by a computing device as having one or several states for one or more attributes that do not identify corresponding body parts of a user. A gesture is recognized by the computing device that is operable to initiate one or more operations of the computing device based at least in part of the state classifications of the one or more pixels of one or more attributes.Type: ApplicationFiled: May 2, 2011Publication date: November 8, 2012Applicant: MICROSOFT CORPORATIONInventors: Alexandru O. Balan, Richard E. Moore, Mark J. Finocchio
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Publication number: 20100111370Abstract: A system and method of estimating the body shape of an individual from input data such as images or range maps. The body may appear in one or more poses captured at different times and a consistent body shape is computed for all poses. The body may appear in minimal tight-fitting clothing or in normal clothing wherein the described method produces an estimate of the body shape under the clothing. Clothed or bare regions of the body are detected via image classification and the fitting method is adapted to treat each region differently. Body shapes are represented parametrically and are matched to other bodies based on shape similarity and other features. Standard measurements are extracted using parametric or non-parametric functions of body shape. The system components support many applications in body scanning, advertising, social networking, collaborative filtering and Internet clothing shopping.Type: ApplicationFiled: August 14, 2009Publication date: May 6, 2010Inventors: Michael J. Black, Alexandru O. Balan, Alexander W. Weiss, Leonid Sigal, Matthew M. Loper, Timothy S. St. Clair