Patents by Inventor Deepak S. Vembar

Deepak S. Vembar 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).

  • Patent number: 10908865
    Abstract: An embodiment of a graphics apparatus may include a processor, memory communicatively coupled to the processor, and a collaboration engine communicatively coupled to the processor to identify a shared graphics component between two or more users in an environment, and share the shared graphics components with the two or more users in the environment. Embodiments of the collaboration engine may include one or more of a centralized sharer, a depth sharer, a shared preprocessor, a multi-port graphics subsystem, and a decode sharer. Other embodiments are disclosed and claimed.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: February 2, 2021
    Assignee: Intel Corporation
    Inventors: Deepak S. Vembar, Atsuo Kuwahara, Chandrasekaran Sakthivel, Radhakrishnan Venkataraman, Brent E. Insko, Anupreet S. Kalra, Hughes Labbe, Altug Koker, Michael Apodaca, Kai Xiao, Jeffery S. Boles, Adam T. Lake, David M. Cimini, Balaji Vembu, Elmoustapha Ould-Ahmed-Vall, Jacek Kwiatkowski, Philip R. Laws, Ankur N. Shah, Abhishek R. Appu, Joydeep Ray, Wenyin Fu, Nikos Kaburlasos, Prasoonkumar Surti, Bhushan M. Borole
  • Patent number: 10846815
    Abstract: Virtual reality systems and methods are described. For example, one embodiment of an apparatus comprises: a communications interface to provide frame data of a virtual reality scene to a head mounted display (HMD); at least one performance monitor coupled to at least one component of the apparatus the at least one performance monitor to monitor performance of the at least one component and to send an alert based on the performance of the at least one component; a processor to process the frame data; a controller to receive the alert based on the performance of the at least one component and to offload processing of the frame data from the processor to the HMD for processing; and a display to show the rendered view of the scene.
    Type: Grant
    Filed: October 4, 2019
    Date of Patent: November 24, 2020
    Assignee: Intel Corporation
    Inventors: Paul S. Diefenbaugh, Karthik Veeramani, Deepak S. Vembar, Rajneesh Chowdhury, Atsuo Kuwahara
  • Publication number: 20200357276
    Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.
    Type: Application
    Filed: January 3, 2020
    Publication date: November 12, 2020
    Applicant: Intel Corporation
    Inventors: Shao-Wen Yang, Eve M. Schooler, Maruti Gupta Hyde, Hassnaa Moustafa, Katalin Klara Bartfai-Walcott, Yen-Kuang Chen, Jessica McCarthy, Christina R. Strong, Arun Raghunath, Deepak S. Vembar
  • Patent number: 10769849
    Abstract: Techniques for three-dimensional (3D) reconstruction of a dynamic scene as a set of voxels are provided. One technique includes: receiving, by a processor, image data from each of two or more spatially-separated sensors observing the scene from a corresponding two or more vantage points; fusing, by the processor, the image data into the set of voxels on a frame-by-frame basis; segmenting, by the processor, the image data into objects that constitute the scene; detecting, by the processor, which of the objects remain static from frame to frame, remaining ones of the objects being dynamic; filtering, by the processor, the set of voxels to remove those of the voxels corresponding to the static objects, to produce a dynamic subset of the voxels; and outputting, by the processor to a display device, those of the voxels corresponding to the dynamic objects (such as the dynamic subset) and not to the static objects.
    Type: Grant
    Filed: November 4, 2016
    Date of Patent: September 8, 2020
    Assignee: INTEL CORPORATION
    Inventors: Sridhar Uyyala, Bradley A. Jackson, Ignacio J. Alvarez, Deepak S. Vembar
  • Patent number: 10761591
    Abstract: Methods and apparatus relating to techniques for shutting down one or more GPU (Graphics Processing Unit) components in response to unchanged scene detection are described. In one embodiment, one or more components of a processor enter a low power consumption state in response to a determination that a scene to be displayed is static. The static scene is displayed on a display device (e.g., based on information to be retrieved from memory) for as long as no change to the static scene is detected. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: April 1, 2017
    Date of Patent: September 1, 2020
    Assignee: Intel Corporation
    Inventors: Prasoonkumar Surti, Wenyin Fu, Nikos Kaburlasos, Bhushan M. Borole, Joydeep Ray, Elmoustapha Ould-Ahmed-Vall, Deepak S. Vembar, Abhishek R. Appu, Ankur N. Shah
  • Publication number: 20200250003
    Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph.
    Type: Application
    Filed: June 29, 2018
    Publication date: August 6, 2020
    Applicant: Intel Corporation
    Inventors: Shao-Wen Yang, Yen-Kuang Chen, Ragaad Mohammed Irsehid Altarawneh, Juan Pablo Munoz Chiabrando, Siew Wen Chin, Kushal Datta, Subramanya R. Dulloor, Julio C. Zamora Esquivel, Omar Ulises Florez Choque, Vishakha Gupta, Scott D. Hahn, Rameshkumar Illikkal, Nilesh Kumar Jain, Siti Khairuni Amalina Kamarol, Anil S. Keshavamurthy, Heng Kar Lau, Jonathan A. Lefman, Yiting Liao, Michael G. Millsap, Ibrahima J. Ndiour, Luis Carlos Maria Remis, Addicam V. Sanjay, Usman Sarwar, Eve M. Schooler, Ned M. Smith, Vallabhajosyula S. Somayazulu, Christina R. Strong, Omesh Tickoo, Srenivas Varadarajan, Jesús A. Cruz Vargas, Hassnaa Moustafa, Arun Raghunath, Katalin Klara Bartfai-Walcott, Maruti Gupta Hyde, Deepak S. Vembar, Jessica McCarthy
  • Patent number: 10719917
    Abstract: Systems, apparatuses and methods may provide for technology that identifies, at an image post-processor, unresolved surface data and identifies, at the image post-processor, control data associated with the unresolved surface data. Additionally, the technology may resolve, at the image post-processor, the unresolved surface data and the control data into a final image.
    Type: Grant
    Filed: January 9, 2019
    Date of Patent: July 21, 2020
    Assignee: Intel Corporation
    Inventors: Tomer Bar-On, Hugues Labbe, Adam T. Lake, Kai Xiao, Ankur N. Shah, Johannes Guenther, Abhishek R. Appu, Joydeep Ray, Deepak S. Vembar, ElMoustapha Ould-Ahmed-Vall
  • Publication number: 20200218330
    Abstract: An embodiment may include an application processor, persistent storage media coupled to the application processor, and a graphics subsystem coupled to the application processor. The system may further include any of a performance analyzer to analyze a performance of the graphics subsystem to provide performance analysis information, a content-based depth analyzer to analyze content to provide content-based depth analysis information, a focus analyzer to analyze a focus area to provide focus analysis information, an edge analyzer to provide edge analysis information, a frame analyzer to provide frame analysis information, and/or a variance analyzer to analyze respective amounts of variance for the frame. The system may further include a workload adjuster to adjust a workload of the graphics subsystem based on the analysis information. Other embodiments are disclosed and claimed.
    Type: Application
    Filed: March 16, 2020
    Publication date: July 9, 2020
    Inventors: Travis T. Schluessler, Joydeep Ray, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Abhishek R. Appu, Kamal Sinha, James M. Holland, Pattabhiraman K., Sayan Lahiri, Radhakrishnan Venkataraman, Carson Brownlee, Vivek Tiwari, Kai Xiao, Jefferson Amstutz, Deepak S. Vembar, Ankur N. Shah, ElMoustapha Ould-Ahmed-Vall
  • Publication number: 20200104971
    Abstract: Virtual reality systems and methods are described. For example, one embodiment of an apparatus comprises: a communications interface to provide frame data of a virtual reality scene to a head mounted display (HMD); at least one performance monitor coupled to at least one component of the apparatus the at least one performance monitor to monitor performance of the at least one component and to send an alert based on the performance of the at least one component; a processor to process the frame data; a controller to receive the alert based on the performance of the at least one component and to offload processing of the frame data from the processor to the HMD for processing; and a display to show the rendered view of the scene.
    Type: Application
    Filed: October 4, 2019
    Publication date: April 2, 2020
    Inventors: Paul S. DIEFENBAUGH, Karthik VEERAMANI, Deepak S. VEMBAR, Rajneesh CHOWDHURY, Atsuo KUWAHARA
  • Publication number: 20200097243
    Abstract: An embodiment of a graphics apparatus may include a processor, memory communicatively coupled to the processor, and a collaboration engine communicatively coupled to the processor to identify a shared graphics component between two or more users in an environment, and share the shared graphics components with the two or more users in the environment. Embodiments of the collaboration engine may include one or more of a centralized sharer, a depth sharer, a shared preprocessor, a multi-port graphics subsystem, and a decode sharer. Other embodiments are disclosed and claimed.
    Type: Application
    Filed: September 27, 2019
    Publication date: March 26, 2020
    Applicant: Intel Corporation
    Inventors: Deepak S. Vembar, Atsuo Kuwahara, Chandrasekaran Sakthivel, Radhakrishnan Venkataraman, Brent E. Insko, Anupreet S. Kalra, Hugues Labbe, Altug Koker, Michael Apodaca, Kai Xiao, Jeffery S. Boles, Adam T. Lake, David M. Cimini, Balaji Vembu, Elmoustapha Ould-Ahmed-Vall, Jacek Kwiatkowski, Philip R. Laws, Ankur N. Shah, Abhishek R. Appu, Joydeep Ray, Wenyin Fu, Nikos Kaburlasos, Prasoonkumar Surti, Bhushan M. Borole
  • Patent number: 10591971
    Abstract: An embodiment may include an application processor, persistent storage media coupled to the application processor, and a graphics subsystem coupled to the application processor. The system may further include any of a performance analyzer to analyze a performance of the graphics subsystem to provide performance analysis information, a content-based depth analyzer to analyze content to provide content-based depth analysis information, a focus analyzer to analyze a focus area to provide focus analysis information, an edge analyzer to provide edge analysis information, a frame analyzer to provide frame analysis information, and/or a variance analyzer to analyze respective amounts of variance for the frame. The system may further include a workload adjuster to adjust a workload of the graphics subsystem based on the analysis information. Other embodiments are disclosed and claimed.
    Type: Grant
    Filed: April 1, 2017
    Date of Patent: March 17, 2020
    Assignee: Intel Corporation
    Inventors: Travis T. Schluessler, Joydeep Ray, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Abhishek R. Appu, Kamal Sinha, James M. Holland, Pattabhiraman K., Sayan Lahiri, Radhakrishnan Venkataraman, Carson Brownlee, Vivek Tiwari, Kai Xiao, Jefferson Amstutz, Deepak S. Vembar, Ankur N. Shah, ElMoustapha Ould-Ahmed-Vall
  • Publication number: 20200082494
    Abstract: An embodiment of a graphics apparatus may include a context engine to determine contextual information, a recommendation engine communicatively coupled to the context engine to determine a recommendation based on the contextual information, and a configuration engine communicatively coupled to the recommendation engine to adjust a configuration of a graphics operation based on the recommendation. Other embodiments are disclosed and claimed.
    Type: Application
    Filed: September 16, 2019
    Publication date: March 12, 2020
    Inventors: Joydeep Ray, Ankur N. Shah, Abhishek R. Appu, Deepak S. Vembar, ElMoustapha Ould-Ahmed-Vall, Atsuo Kuwahara, Travis T. Schluessler, Linda L. Hurd, Josh B. Mastronarde, Vasanth Ranganathan
  • Patent number: 10580143
    Abstract: Techniques for high-fidelity three-dimensional (3D) reconstruction of a dynamic scene as a set of voxels are provided. One technique includes: receiving, by a processor, image data from each of two or more spatially-separated sensors observing the scene from a corresponding two or more vantage points; generating, by the processor, the set of voxels from the image data on a frame-by-frame basis; reconstructing, by the processor, surfaces from the set of voxels to generate low-fidelity mesh data; identifying, by the processor, performers in the scene from the image data; obtaining, by the processor, high-fidelity mesh data corresponding to the identified performers; and merging, by the processor, the low-fidelity mesh data with the high-fidelity mesh data to generate high-fidelity 3D output. The identifying of the performers includes: segmenting, by the processor, the image data into objects; and classifying, by the processor, those of the objects representing the performers.
    Type: Grant
    Filed: November 4, 2016
    Date of Patent: March 3, 2020
    Assignee: INTEL Corporation
    Inventors: Sridhar Uyyala, Ignacio J. Alvarez, Bradley A. Jackson, Deepak S. Vembar
  • Patent number: 10559202
    Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.
    Type: Grant
    Filed: June 8, 2018
    Date of Patent: February 11, 2020
    Assignee: Intel Corporation
    Inventors: Shao-Wen Yang, Eve M. Schooler, Maruti Gupta Hyde, Hassnaa Moustafa, Katalin Klara Bartfai-Walcott, Yen-Kuang Chen, Jessica McCarthy, Christina R. Strong, Arun Raghunath, Deepak S. Vembar
  • Publication number: 20200035005
    Abstract: An embodiment of a graphics apparatus may include a focus identifier to identify a focus area, and a color compressor to selectively compress color data based on the identified focus area. Another embodiment of a graphics apparatus may include a motion detector to detect motion of a real object, a motion predictor to predict a motion of the real object, and an object placer to place a virtual object relative to the real object based on the predicted motion of the real object. Another embodiment of a graphics apparatus may include a frame divider to divide a frame into viewports, a viewport prioritizer to prioritize the viewports, a renderer to render a viewport of the frame in order in accordance with the viewport priorities, and a viewport transmitter to transmit a completed rendered viewport. Other embodiments are disclosed and claimed.
    Type: Application
    Filed: August 7, 2019
    Publication date: January 30, 2020
    Applicant: Intel Corporation
    Inventors: Deepak S. Vembar, Atsuo Kuwahara, Chandrasekaran Sakthivel, Radhakrishnan Venkataraman, Brent E. Insko, Anupreet S. Kalra, Hugues Labbe, Abhishek R. Appu, Ankur N. Shah, Joydeep Ray, ElMoustapha Ould-Ahmed-Vall, James M. Holland
  • Publication number: 20200004329
    Abstract: Systems, apparatuses and methods may provide away to enhance an augmented reality (AR) and/or virtual reality (VR) user experience with environmental information captured from sensors located in one or more physical environments. More particularly, systems, apparatuses and methods may provide a way to track, by an eye tracker sensor, a gaze of a user, and capture, by the sensors, environmental information. The systems, apparatuses and methods may render feedback, by one or more feedback devices or display device, for a portion of the environment information based on the gaze of the user.
    Type: Application
    Filed: July 18, 2019
    Publication date: January 2, 2020
    Inventors: Altug Koker, Michael Apodaca, Kai Xiao, Chandrasekaran Sakthivel, Jeffery S. Boles, Adam T. Lake, James M. Holland, Pattabhiraman K, Sayan Lahiri, Radhakrishnan Venkataraman, Kamal Sinha, Ankur N. Shah, Deepak S. Vembar, Abhishek R. Appu, Joydeep Ray, Elmoustapha Ould-Ahmed-Vall
  • Patent number: 10475149
    Abstract: Virtual reality systems and methods are described. For example, one embodiment of an apparatus comprises: a communications interface to provide frame data of a virtual reality scene to a head mounted display (HMD); at least one performance monitor coupled to at least one component of the apparatus the at least one performance monitor to monitor performance of the at least one component and to send an alert based on the performance of the at least one component; a processor to process the frame data; a controller to receive the alert based on the performance of the at least one component and to offload processing of the frame data from the processor to the HMD for processing; and a display to show the rendered view of the scene.
    Type: Grant
    Filed: September 25, 2017
    Date of Patent: November 12, 2019
    Assignee: INTEL CORPORATION
    Inventors: Paul S. Diefenbaugh, Karthik Veeramani, Deepak S. Vembar, Rajneesh Chowdhury, Atsuo Kuwahara
  • Patent number: 10467796
    Abstract: An embodiment of an electronic processing system may include an application processor, persistent storage media communicatively coupled to the application processor, and a graphics subsystem communicatively coupled to the application processor. The graphics subsystem may include a first graphics engine to process a graphics workload, and a second graphics engine to offload at least a portion of the graphics workload from the first graphics engine. The second graphics engine may include a low precision compute engine. The system may further include a wearable display housing the second graphics engine. Other embodiments are disclosed and claimed.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: November 5, 2019
    Assignee: Intel Corporation
    Inventors: Atsuo Kuwahara, Deepak S. Vembar, Chandrasekaran Sakthivel, Radhakrishnan Venkataraman, Brent E. Insko, Anupreet S. Kalra, Hugues Labbe, Abhishek R. Appu, Ankur N. Shah, Joydeep Ray, Elmoustapha Ould-Ahmed-Vall, Prasoonkumar Surti, Murali Ramadoss
  • Patent number: 10460415
    Abstract: An embodiment of a graphics apparatus may include a context engine to determine contextual information, a recommendation engine communicatively coupled to the context engine to determine a recommendation based on the contextual information, and a configuration engine communicatively coupled to the recommendation engine to adjust a configuration of a graphics operation based on the recommendation. Other embodiments are disclosed and claimed.
    Type: Grant
    Filed: April 10, 2017
    Date of Patent: October 29, 2019
    Assignee: Intel Corporation
    Inventors: Joydeep Ray, Ankur N. Shah, Abhishek R. Appu, Deepak S. Vembar, ElMoustapha Ould-Ahmed-Vall, Atsuo Kuwahara, Travis T. Schluessler, Linda L. Hurd, Josh B. Mastronarde, Vasanth Ranganathan
  • Patent number: 10430147
    Abstract: An embodiment of a graphics apparatus may include a processor, memory communicatively coupled to the processor, and a collaboration engine communicatively coupled to the processor to identify a shared graphics component between two or more users in an environment, and share the shared graphics components with the two or more users in the environment. Embodiments of the collaboration engine may include one or more of a centralized sharer, a depth sharer, a shared preprocessor, a multi-port graphics subsystem, and a decode sharer. Other embodiments are disclosed and claimed.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: October 1, 2019
    Assignee: Intel Corporation
    Inventors: Deepak S. Vembar, Atsuo Kuwahara, Chandrasekaran Sakthivel, Radhakrishnan Venkataraman, Brent E. Insko, Anupreet S. Kalra, Hugues Labbe, Altug Koker, Michael Apodaca, Kai Xiao, Jeffery S. Boles, Adam T. Lake, David M. Cimini, Balaji Vembu, Elmoustapha Ould-Ahmed-Vall, Jacek Kwiatkowski, Philip R. Laws, Ankur N. Shah, Abhishek R. Appu, Joydeep Ray, Wenyin Fu, Nikos Kaburlasos, Prasoonkumar Surti, Bhushan M. Borole