Patents by Inventor Nagilla Dikpal Reddy
Nagilla Dikpal Reddy 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: 10311589Abstract: One embodiment of the present invention sets forth a technique for estimating a head pose of a user. The technique includes acquiring depth data associated with a head of the user and initializing each particle included in a set of particles with a different candidate head pose. The technique further includes performing one or more optimization passes that include performing at least one iterative closest point (ICP) iteration for each particle and performing at least one particle swarm optimization (PSO) iteration. Each ICP iteration includes rendering the three-dimensional reference model based on the candidate head pose associated with the particle and comparing the three-dimensional reference model to the depth data. Each PSO iteration comprises updating a global best head pose associated with the set of particles and modifying at least one candidate head pose. The technique further includes modifying a shape of the three-dimensional reference model based on depth data.Type: GrantFiled: November 27, 2017Date of Patent: June 4, 2019Assignee: NVIDIA CORPORATIONInventors: Gregory P. Meyer, Shalini Gupta, Iuri Frosio, Nagilla Dikpal Reddy, Jan Kautz
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Patent number: 10306218Abstract: An exemplary camera calibration apparatus includes a movable, e.g., rotatable, support structure which is controllably positioned to allow for image capture of different test patterns and image capture of the same pattern at different distances by a mounted camera. A first test pattern is mounted on a wall, e.g., a pyramid shaped 4 sided wall formed by panels surrounding the camera under calibration. The movable support structure has a first mirror attached to a first side and has a second test pattern attached to a second side. A second mirror mounted on an internal sidewall of the calibration apparatus housing facilities a different image path distance between the camera capturing the image of the first test pattern and the first test pattern. The exemplary camera calibration apparatus is well suited for efficiently calibrating camera devices including a plurality of camera modules, e.g., optical chains, in a relatively small area.Type: GrantFiled: June 24, 2016Date of Patent: May 28, 2019Assignee: LIGHT LABS INC.Inventors: Nitesh Shroff, Weiguang Si, Nagilla Dikpal Reddy, John Sasinowski, Nghi Phan, Jiamin Bai, Harpuneet Singh, Rajiv Laroia
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Publication number: 20180075611Abstract: One embodiment of the present invention sets forth a technique for estimating a head pose of a user. The technique includes acquiring depth data associated with a head of the user and initializing each particle included in a set of particles with a different candidate head pose. The technique further includes performing one or more optimization passes that include performing at least one iterative closest point (ICP) iteration for each particle and performing at least one particle swarm optimization (PSO) iteration. Each ICP iteration includes rendering the three-dimensional reference model based on the candidate head pose associated with the particle and comparing the three-dimensional reference model to the depth data. Each PSO iteration comprises updating a global best head pose associated with the set of particles and modifying at least one candidate head pose. The technique further includes modifying a shape of the three-dimensional reference model based on depth data.Type: ApplicationFiled: November 27, 2017Publication date: March 15, 2018Inventors: Gregory P. MEYER, Shalini GUPTA, Iuri FROSIO, Nagilla Dikpal REDDY, Jan KAUTZ
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Patent number: 9905196Abstract: A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.Type: GrantFiled: September 26, 2016Date of Patent: February 27, 2018Assignee: NVIDIA CORPORATIONInventors: Dawid Stanislaw Pajak, Felix Heide, Nagilla Dikpal Reddy, Mushfiqur Rouf, Jan Kautz, Kari Pulli, Orazio Gallo
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Patent number: 9830703Abstract: One embodiment of the present invention sets forth a technique for estimating a head pose of a user. The technique includes acquiring depth data associated with a head of the user and initializing each particle included in a set of particles with a different candidate head pose. The technique further includes performing one or more optimization passes that include performing at least one iterative closest point (ICP) iteration for each particle and performing at least one particle swarm optimization (PSO) iteration. Each ICP iteration includes rendering the three-dimensional reference model based on the candidate head pose associated with the particle and comparing the three-dimensional reference model to the depth data. Each PSO iteration comprises updating a global best head pose associated with the set of particles and modifying at least one candidate head pose. The technique further includes modifying a shape of the three-dimensional reference model based on depth data.Type: GrantFiled: August 12, 2015Date of Patent: November 28, 2017Assignee: NVIDIA CorporationInventors: Gregory P. Meyer, Shalini Gupta, Iuri Frosio, Nagilla Dikpal Reddy, Jan Kautz
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Publication number: 20170280135Abstract: An exemplary camera calibration apparatus includes a movable, e.g., rotatable, support structure which is controllably positioned to allow for image capture of different test patterns and image capture of the same pattern at different distances by a mounted camera. A first test pattern is mounted on a wall, e.g., a pyramid shaped 4 sided wall formed by panels surrounding the camera under calibration. The movable support structure has a first mirror attached to a first side and has a second test pattern attached to a second side. A second mirror mounted on an internal sidewall of the calibration apparatus housing facilities a different image path distance between the camera capturing the image of the first test pattern and the first test pattern. The exemplary camera calibration apparatus is well suited for efficiently calibrating camera devices including a plurality of camera modules, e.g., optical chains, in a relatively small area.Type: ApplicationFiled: June 24, 2016Publication date: September 28, 2017Inventors: Nitesh Shroff, Weiguang Si, Nagilla Dikpal Reddy, John Sasinowski, Nghi Phan, Jiamin Bai, Harpuneet Singh, Rajiv Laroia
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Publication number: 20170046827Abstract: One embodiment of the present invention sets forth a technique for estimating a head pose of a user. The technique includes acquiring depth data associated with a head of the user and initializing each particle included in a set of particles with a different candidate head pose. The technique further includes performing one or more optimization passes that include performing at least one iterative closest point (ICP) iteration for each particle and performing at least one particle swarm optimization (PSO) iteration. Each ICP iteration includes rendering the three-dimensional reference model based on the candidate head pose associated with the particle and comparing the three-dimensional reference model to the depth data. Each PSO iteration comprises updating a global best head pose associated with the set of particles and modifying at least one candidate head pose. The technique further includes modifying a shape of the three-dimensional reference model based on depth data.Type: ApplicationFiled: August 12, 2015Publication date: February 16, 2017Inventors: Gregory P. MEYER, Shalini GUPTA, Iuri FROSIO, Nagilla Dikpal REDDY, Jan KAUTZ
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Patent number: 9558712Abstract: A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.Type: GrantFiled: January 20, 2015Date of Patent: January 31, 2017Assignee: NVIDIA CORPORATIONInventors: Dawid Stanislaw Pajak, Felix Heide, Nagilla Dikpal Reddy, Mushfiqur Rouf, Jan Kautz, Kari Pulli, Orazio Gallo
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Publication number: 20170011710Abstract: A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.Type: ApplicationFiled: September 26, 2016Publication date: January 12, 2017Inventors: Dawid Stanislaw Pajak, Felix Heide, Nagilla Dikpal Reddy, Mushfiqur Rouf, Jan Kautz, Kari Pulli, Orazio Gallo
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Publication number: 20150206504Abstract: A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.Type: ApplicationFiled: January 20, 2015Publication date: July 23, 2015Inventors: Dawid Stanislaw Pajak, Felix Heide, Nagilla Dikpal Reddy, Mushfiqur Rouf, Jan Kautz, Kari Pulli, Orazio Gallo