Pt. 3 of 3 - Developing OpenCV based embedded application using Intel® System Studio

Pt. 3 of 3 - Developing OpenCV based embedded application using Intel® System Studio

When creating a signal or image processing application, code optimization is very important to ensure overall performances. An easy way to improve OpenCV* application performance on Intel Architecture is to re build using components of Intel® System Studio like Intel® C++ compiler and Intel® Integrated Performance Primitives (IPP), applications are accelerated by taking advantage of Streaming SIMD Extensions (SSE, SSE, SSE2, SSE3, SSSE3, SSE4, SSE4.1, SSE4.2, and Intel® AVX in latest) instructions.

With the increasing popularity of multi-core processors, mainly for high-end embedded systems, multithreading can improve performance of an application. OpenCV* (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real-time computer vision. It focuses mainly on real-time image processing.

This webinar we will describe how to use Intel® System Studio to build the OpenCV* based embedded application on Intel platforms.

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