Patents by Inventor Barnan Das

Barnan Das 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: 10623634
    Abstract: Systems and methods may provide for capturing 360 degree video, and multi-resolution encoding, processing and displaying of the video based on a field of view (FOV) and region of interest (ROI) for a viewer. The ROI may be determined based on eye tracking information (ETI) and the video may be encoded for viewports within the FOV at a high resolution and for other viewports outside the FOV at a lower resolution. ROI in the video may be encoded at a high resolution and areas outside of the ROI may be encoded at a lower resolution. The ETI enables the selective display of one or more warnings based on the gaze of a user to improve the efficiency of the warning. 3D glasses having variable lens may be used to adjust the focal distance of a virtual display to match a virtual distance of an object based on stereo distance cues.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: April 14, 2020
    Assignee: Intel Corporation
    Inventors: Stanley J. Baran, Abhishek R. Appu, Sang-Hee Lee, Atthar H. Mohammed, Jong Dae Oh, Hiu-Fai R. Chan, Joydeep Ray, Barnan Das, Archie Sharma, Richmond Hicks, Changliang Wang, Satyanarayana Avadhanam, Robert J. Johnston, Narayan Biswal
  • Patent number: 10587800
    Abstract: Systems, apparatuses and methods may determine, on a per camera basis, an interest level with respect to panoramic video content, identify a subset of cameras in a plurality of cameras for which the interest level is below a threshold, and reduce power consumption in the subset of cameras. Additionally, technology may determine a projection format associated with panoramic video content, identify one or more discontinuous boundaries in the projection format, and modify an encoding scheme associated with the panoramic video content based on the discontinuous boundaries. Moreover, an encoded frame may be assigned to a temporal scalability layer that has a higher priority than a layer to which an asynchronous space warp frame is assigned. Additionally, technology may reduce the encoding complexity of a boundary between an active region and an inactive region in fisheye content.
    Type: Grant
    Filed: April 10, 2017
    Date of Patent: March 10, 2020
    Assignee: Intel Corporation
    Inventors: Jill M. Boyce, Stanley J. Baran, Sumit Mohan, Yi-Jen Chiu, Jason Tanner, Atthar H. Mohammed, Richmond Hicks, Barnan Das
  • Publication number: 20200045343
    Abstract: An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to encode surface normals data with point cloud geometry data included in the video bit stream data for reconstruction of objects within the video bit stream data based on the surface normals data and a memory communicatively coupled to the one or more processors.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Intel Corporation
    Inventors: Jill Boyce, Scott Janus, Itay Kaufman, Archie Sharma, Stanley Baran, Michael Apodaca, Prasoonkumar Surti, Srikanth Potluri, Barnan Das, Hugues Labbe, Jong Dae Oh, Gokcen Cilingir, Maria Bortman, Tzach Ashkenazi, Jonathan Distler, Atul Divekar, Mayuresh M. Varerkar, Narayan Biswal, Nilesh V. Shah, Atsuo Kuwahara, Kai Xiao, Jason Tanner, Jeffrey Tripp
  • Publication number: 20200045348
    Abstract: An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to decode point cloud data, reconstruct the decoded point cloud data and fill one or more holes in reconstructed point cloud frame data using patch metadata included in the decoded point cloud data and a memory communicatively coupled to the one or more processors.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Intel Corporation
    Inventors: Jill Boyce, Scott Janus, Prasoonkumar Surti, Stanley Baran, Michael Apodaca, Srikanth Potluri, Hugues Labbe, Jong Dae Oh, Gokcen Cilingir, Archie Sharma, Jeffrey Tripp, Jason Ross, Barnan Das
  • Publication number: 20200043182
    Abstract: Embodiments described herein provide an apparatus comprising a processor to divide a first point cloud data set frame representing a three dimensional space at a first point in time into a matrix of blocks, determine at least one three dimensional (3D) motion vector for at least a subset of blocks in the matrix of blocks, generate a predicted second point cloud data set frame representing a prediction of the three dimensional space at a second point in time by applying the at least one 3D motion vector to the subset of blocks in the matrix of blocks, compare the predicted second point cloud data set frame to a second point cloud data set frame representing a prediction of the three dimensional space at a second point in time to generate a prediction error parameter, and encode the second point cloud data set frame as a function of the first point cloud data set frame and the at least one three dimensional (3D) motion vector when the prediction error factor is beneath an error threshold to produce an encoded s
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Intel Corporation
    Inventors: Scott Janus, Barnan Das, Hugues Labbe, Jong Dae Oh, Gokcen Cilingir, James Holland, Narayan Biswal, Yi-Jen Chiu, Qian Xu, Mayuresh Varerkar, Sang-Hee Lee, Stanley Baran, Srikanth Potluri, Jason Ross, Maruthi Sandeep Maddipatla
  • Publication number: 20200045285
    Abstract: A mechanism is described for facilitating adaptive resolution and viewpoint-prediction for immersive media in computing environments. An apparatus of embodiments, as described herein, includes one or more processors to receive viewing positions associated with a user with respect to a display, and analyze relevance of media contents based on the viewing positions, where the media content includes immersive videos of scenes captured by one or more cameras. The one or more processors are further to predict portions of the media contents as relevant portions based on the viewing positions and transmit the relevant portions to be rendered and displayed.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Intel Corporation
    Inventors: MAYURESH VARERKAR, STANLEY BARAN, MICHAEL APODACA, PRASOONKUMAR SURTI, ATSUO KUWAHARA, NARAYAN BISWAL, JILL BOYCE, YI-JEN CHIU, GOKCEN CILINGIR, BARNAN DAS, ATUL DIVEKAR, SRIKANTH POTLURI, NILESH SHAH, ARCHIE SHARMA
  • Publication number: 20200043121
    Abstract: An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to decode occupancy map data and auxiliary patch information and generate a plurality of patch video frames based on patch data decoded from the occupancy map data and auxiliary patch information, and a memory communicatively coupled to the one or more processors.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Intel Corporation
    Inventors: Jill Boyce, Sang-hee Lee, Scott Janus, Stanley Baran, Michael Apodaca, Prasoonkumar Surti, Srikanth Potluri, Atsuo Kuwahara, Kai Xiao, Jason Tanner, Gokcen Cilingir, Archie Sharma, Jeffrey Tripp, Jason Ross, Barnan Das
  • Patent number: 10496697
    Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
    Type: Grant
    Filed: September 6, 2018
    Date of Patent: December 3, 2019
    Assignee: INTEL CORPORATION
    Inventors: Barnan Das, Mayuresh M. Varerkar, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Praneetha Kotha, Neelay Pandit, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Abhishek R. Appu, Altug Koker, Joydeep Ray
  • Publication number: 20190332869
    Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
    Type: Application
    Filed: April 9, 2019
    Publication date: October 31, 2019
    Applicant: Intel Corporation
    Inventors: MAYURESH M. VARERKAR, BARNAN DAS, NARAYAN BISWAL, STANLEY J. BARAN, GOKCEN CILINGIR, NILESH V. SHAH, ARCHIE SHARMA, SHERINE ABDELHAK, SACHIN GODSE, FARSHAD AKHBARI, NARAYAN SRINIVASA, ALTUG KOKER, NADATHUR RAJAGOPALAN SATISH, DUKHWAN KIM, FENG CHEN, ABHISHEK R. APPU, JOYDEEP RAY, PING T. TANG, MICHAEL S. STRICKLAND, XIAOMING CHEN, ANBANG YAO, TATIANA SHPEISMAN, VASANTH RANGANATHAN, SANJEEV JAHAGIRDAR
  • Publication number: 20190287290
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality and virtual reality (VR/AR) environment information. More particularly, systems, apparatuses and methods may provide a way to selectively suppress and enhance VR/AR renderings of n-dimensional environments. The systems, apparatuses and methods may deepen a user's VR/AR experience by focusing on particular feedback information, while suppressing other feedback information from the environment.
    Type: Application
    Filed: February 8, 2019
    Publication date: September 19, 2019
    Inventors: Chandrasekaran Sakthivel, Michael Apodaca, Kai Xiao, Altug Koker, Jeffery S. Boles, Adam T. Lake, Nikos Kaburlasos, Joydeep Ray, John H. Feit, Travis T. Schluessler, Jacek Kwiatkowski, James M. Holland, Prasoonkumar Surti, Jonathan Kennedy, Louis Feng, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Publication number: 20190261122
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.
    Type: Application
    Filed: February 7, 2019
    Publication date: August 22, 2019
    Inventors: Joydeep Ray, Travis T. Schluessler, Prasoonkumar Surti, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Abhishek R. Appu, James M. Holland, Jeffery S. Boles, Jonathan Kennedy, Louis Feng, Atsuo Kuwahara, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Patent number: 10303953
    Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: May 28, 2019
    Assignee: INTEL CORPORATION
    Inventors: Mayuresh M. Varerkar, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Sachin Godse, Farshad Akhbari, Narayan Srinivasa, Altug Koker, Nadathur Rajagopalan Satish, Dukhwan Kim, Feng Chen, Abhishek R. Appu, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Anbang Yao, Tatiana Shpeisman, Vasanth Ranganathan, Sanjeev Jahagirdar
  • Publication number: 20190147175
    Abstract: Technology for a device operable for secured user access is described. The technology can comprise one or more processors. The device can be configured to identify an intruder indicator, wherein the intruder indicator can indicate that an intruder has been detected in a proximity of either the local device or a remote device in communication with the local device. The device can be configured to activate one or more privacy filters at the local device. The device can be configured to encode data based on the one or more privacy filters.
    Type: Application
    Filed: January 8, 2019
    Publication date: May 16, 2019
    Applicant: Intel Corporation
    Inventors: Mayuresh Varerkar, Barnan Das, Archie Sharma, Gokcen Cilingir, Narayan Biswal, Melanie Daniels
  • Patent number: 10251011
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: April 2, 2019
    Assignee: Intel Corporation
    Inventors: Joydeep Ray, Travis T. Schluessler, Prasoonkumar Surti, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Abhishek R. Appu, James M. Holland, Jeffery S. Boles, Jonathan Kennedy, Louis Feng, Atsuo Kuwahara, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Publication number: 20190095703
    Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
    Type: Application
    Filed: September 6, 2018
    Publication date: March 28, 2019
    Applicant: Intel Corporation
    Inventors: Barnan Das, Mayuresh M. Varerkar, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Praneetha Kotha, Neelay Pandit, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Abhishek R. Appu, Altug Koker, Joydeep Ray
  • Patent number: 10242486
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality and virtual reality (VR/AR) environment information. More particularly, systems, apparatuses and methods may provide a way to selectively suppress and enhance VR/AR renderings of n-dimensional environments. The systems, apparatuses and methods may deepen a user's VR/AR experience by focusing on particular feedback information, while suppressing other feedback information from the environment.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: March 26, 2019
    Assignee: Intel Corporation
    Inventors: Chandrasekaran Sakthivel, Michael Apodaca, Kai Xiao, Altug Koker, Jeffery S. Boles, Adam T. Lake, Nikos Kaburlasos, Joydeep Ray, John H. Feit, Travis T. Schluessler, Jacek Kwiatkowski, James M. Holland, Prasoonkumar Surti, Jonathan Kennedy, Louis Feng, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Patent number: 10165222
    Abstract: Video capture is described in which the video frame rate is based on an estimate of motion periodicity. In one example, a period of motion of a moving object is determined at a sensor device. A frame capture rate of a video camera that is attached to the moving object is adjusted based on the period of motion. Video frames are captured at the adjusted frame rate, and the captured video frames are stored.
    Type: Grant
    Filed: June 9, 2016
    Date of Patent: December 25, 2018
    Assignee: INTEL CORPORATION
    Inventors: Stanley J. Baran, Barnan Das, Richmond Hicks
  • Patent number: 10114935
    Abstract: Technologies for multi-factor authentication of a user include a computing device with one or more sensors. The computing device may authenticate the user by analyzing biometric and/or environmental sensor data to determine whether to allow the user access to a computing device. To do so, the computing device may determine reliability scores based on the environment during authentication for each biometric authentication factor used to authenticate the user. Additionally, the computing device may determine a login pattern based on sensor data collected during historical authentication attempts by the user over a period of time. The computing device may apply a machine-learning classification algorithm to determine classification rules, based on the login pattern, applied by the computing device to determine whether to allow the user access to the computing device. Other embodiments are described herein and claimed.
    Type: Grant
    Filed: December 23, 2014
    Date of Patent: October 30, 2018
    Assignee: Intel Corporation
    Inventors: Barnan Das, Abhilasha Bhargav-Spantzel, Narayan Biswal, Micah J. Sheller, Ned M. Smith, Hormuzd M. Khosravi
  • Publication number: 20180307899
    Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
    Type: Application
    Filed: April 24, 2017
    Publication date: October 25, 2018
    Applicant: Intel Corproation
    Inventors: Barnan Das, MAYURESH M. VARERKAR, NARAYAN BISWAL, STANLEY J. BARAN, GOKCEN CILINGIR, NILESH V. SHAH, ARCHIE SHARMA, SHERINE ABDELHAK, Praneetha Kotha, Neelay Pandit, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Abhishek R. Appu, Altug Koker, Joydeep Ray
  • Publication number: 20180310113
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.
    Type: Application
    Filed: April 24, 2017
    Publication date: October 25, 2018
    Inventors: Joydeep Ray, Travis T. Schluessler, Prasoonkumar Surti, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Abhishek R. Appu, James M. Holland, Jeffery S. Boles, Jonathan Kennedy, Louis Feng, Atsuo Kuwahara, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar