Level: Intermediate

Prerequisites: C & C++ programming language.

Presentation Language: English

Intended Audience: People interested in implementing real-time camera-based applications.

Organizer: Kari Pulli is a Sr. Principal Engineer at Intel. Earlier he was VP of Computational Imaging at Light; Sr. Director of Research at NVIDIA, and before that Nokia Fellow at Nokia. Kari has a long background in standardization, at Khronos he has contributed to many mobile media standards, including OpenVX. He is a frequent author and speaker at venues like CVPR and SIGGRAPH, with h-index of 25. Kari has a PhD from University of Washington, MBA from University of Oulu, and has taught and worked as a researcher at University of Oulu, Stanford University, and MIT.
Radhakrishna Giduthuriis a Design Engineer at Advanced Micro Devices (AMD) focusing on development of computer vision toolkit and libraries for heterogeneous compute platforms. He has extensive background with software design and performance tuning for various computer architectures ranging from General Purpose DSPs, Customizable DSPs, Media Processors, Heterogeneous Processors, GPUs, and several CPUs. He is a member of Khronos OpenVX working group representing AMD. In the past he was a member of SMPTE video compression standardizing committee for several years. He is also winner of outstanding leadership and processional services award for IEEE Central Area in 2016.

Speaker(s):
Kari Pulli, Intel
Radhakrishna Giduthuri, AMD

Summary:
OpenVX is an open standard for computer vision. The tutorial includes hands-on practice session that gets the participants started on solving real computer vision problems using OpenVX.