Upcoming Khronos Chapter Meeting

Introduction to OpenVX

  • Texas Instrument India

    Bagmane Tech Park, C V Raman Nagar, Bangalore (edit map)

  • hi All,

    Khronos Bangalore Chapter would like to invite industry professionals and enthusiasts in Bangalore for a short tutorial on OpenVX.

    OpenVX is an open, royalty-free standard for cross platform acceleration of computer vision applications especially for embedded and real-time use cases such as gesture tracking, video surveillance, advanced driver assistance systems (ADAS), object and scene reconstruction, augmented reality, visual inspection, robotics and more.

    Tutorial Objectives
    Provide a overview of OpenVX with simple hands on examples

    Prerequisites
    Basic working knowledge of vision systems, embedded systems, C programming, Linux development environment

    Agenda
    2:00 – 2.30 Registration
    2:30 – 3:00 OpenVX overview [Kedar – TI ]
    3:00 – 4:00 Practice Example 1 (keypoint detector) [Brijesh - TI]
    4:00 – 4:15 Coffee break
    4:15 – 5:30 Practice Example 2 (keypoint tracking) [ Venkat - Samsung R&D]
    5:30 – 6:00 Networking/Feedback for Khronos Bangalore Chapter

    Who Should Attend
    Professionals in Bangalore working on embedded vision applications/R&D in domains like ADAS, imaging, sensor fusion, autonomous driving, machine vision.

    Speakers
    Kedar Chitnis is Principal Software Architect for Automotive ADAS business at Texas Instruments (TI) Incorporated. His domains of interest are imaging, video, vision system software and frameworks for embedded solutions. He received Bachelor of Engineering (BE) degree from the University of Mumbai in 2001 [linkedin] [google scholar]

    Dr. Venkat Ramana Peddigari is Senior Chief Engineer in Multimedia Systems Division at Samsung R&D Institute, Bangalore, India. He is currently leading the Vision SDK Framework Development for next generation mobile platforms. His domains of interest include image processing, computer vision, acceleration of imaging and vision algorithms and development of heterogeneous frameworks for embedded platforms such as smartphones. Venkat R Peddigari completed his Ph.D in Electrical Engineering with specialization in image processing at University of Texas at Dallas in 2007. He earned M.S and B.E degrees in Electrical Engineering in 2002 & 2000 respectively. Venkat R Peddigari has co-authored 4 patents, 3 journals & 16 conference publications [linkedin] [google scholar]

    Brijesh Jadav is Lead Software Engineer for Automotive ADAS business at Texas Instruments (TI) Incorporated. His domains of interest are imaging, video, vision system software and frameworks for embedded solutions. He received Bachelor of Engineering (BE) degree from the Sardar Patel University, 2001. [linkedin] [google scholar]

    Acknowledgements
    This tutorial is based on the OpenVX Tutorial by Radha Giduthuri from AMD [link]

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