OpenCV

Great Reads

Share Introduction to Developing and Optimizing Display Technology

by Intel

Digital displays and signs are all around you. You may have seen them cropping up at shopping centers and doctors’ offices. From video walls, to AR fitting mirrors, to ordering menus, digital signs are pervasive and are becoming a part of everyday shopping experience.

6 Tools from Intel to Speed up Deep Neural Networks

by Stephan Ofosuhene

This article takes a look at a variety of tools available from Intel: Intel® Movidius™ Neural Compute Stick, Intel® Python Distribution for Python™, Intel® Math Kernel DNN Library, Intel® Data Analytics Acceleration Library, Intel Distribution of OpenVINO™ Toolkit

A .NET Approach to EmguCV

by saad_lah

Complete guide for beginner to setup EmguCV project and run first program in Visual Studio

A Closer Look at Object Detection, Recognition and Tracking

by Intel

Below we seek guidance from the dictionary to appropriately define and discern the terms object detection, object recognition and object tracking.

Latest Articles

Share Introduction to Developing and Optimizing Display Technology

by Intel

6 Tools from Intel to Speed up Deep Neural Networks

by Stephan Ofosuhene

A .NET Approach to EmguCV

by saad_lah

Complete guide for beginner to setup EmguCV project and run first program in Visual Studio

A Closer Look at Object Detection, Recognition and Tracking

by Intel

Below we seek guidance from the dictionary to appropriately define and discern the terms object detection, object recognition and object tracking.

All Articles

top

OpenCV

Share Introduction to Developing and Optimizing Display Technology

by Intel

6 Tools from Intel to Speed up Deep Neural Networks

by Stephan Ofosuhene

A Closer Look at Object Detection, Recognition and Tracking

by Intel

Below we seek guidance from the dictionary to appropriately define and discern the terms object detection, object recognition and object tracking.

A Codecless Monochrome AVI Reader

by Frederic Ntawiniga

The way of reading AVI files without installing codec drivers.

A Coder Interview With Michael Hopke

by CodeProject, Michael Hopke

Welcome to our continuing series of Code Project interviews in which we talk to developers about their backgrounds, projects, interests and pet peeves. In this installment we talk to Michael Hopke, who helped launch a game and a game development company while still in college.

Adaptive Skin Color Detection

by pi19404

In this article we will look at Adaptive Skin Color Detection technique described in the paper "An Adaptive Real-time Skin Detector Based on Hue Thresholding"

Adding Object Detection with TensorFlow to a Robotics Project

by Phil Hopley

In this article, we will add AI to an existing ROS (Robot Operating System) House Bot.

Age Estimation With Deep Learning: Getting Started

by Sergey L. Gladkiy

In this article, we'll begin the process of how to use a deep neural network to estimate a person's age from an image.

Age Estimation With Deep Learning: Training CNN

by Sergey L. Gladkiy

In this article we train the CNN for age estimation.

Age Estimation With Deep Learning: Using CNN to Predict Age

by Sergey L. Gladkiy

In this article we will explain how to use the pre-trained CNN for estimating a person’s age from an image.

AI Queue Length Detection: Object Detection in Images Using YOLO

by MehreenTahir

In this article we will compare training our models from scratch with more advanced and pre-trained approaches like YOLO.

AI Queue Length Detection: Object Detection in Video Using YOLO

by MehreenTahir

In this we’ll see if we can implement YOLO on video feeds for queue length detection.

AI Social Distancing Detector: Calculating the Center Point of Detected People

by Dawid Borycki

In this article, we'll calculate the center of each detected bounding box, which will serve as a base for calculating distance.

AI Social Distancing Detector: Detecting People in a Video Sequence

by Dawid Borycki

In this article we will perform object detection on the frames from the test data sets including video sequence stored in the video file.

AI Social Distancing Detector: Finding People That Are Too Close

by Dawid Borycki

In this article, we will use those centers to estimate distances between people and indicate people that are too close.

AI Social Distancing Detector: Improving People Detection With Yolo Object Detection

by Dawid Borycki

In this last article of the series, we improve our Python console application for AI-powered social distancing detection.

AI Social Distancing Detector: Object Detection in Video Frames

by Dawid Borycki

In this article, we continue learning how to use AI to build a social distancing detector.

AI Social Distancing Detector: Object Detection With TensorFlow and MobileNet

by Dawid Borycki

In this article, we will use drawing functions to depict detected objects.

AI Social Distancing Detector: Using OpenCV to Annotate Detected Objects

by Dawid Borycki

In this article, we will learn how to add annotations to images.

AI Social Distancing Detector: Working With Images in OpenCV

by Dawid Borycki

In this article series, we'll look at how to use AI and deep learning on video frames to ensure people are maintaining adequate social distancing in crowds.

An Easy Video-processing Framework by Grabbing Frames as Bitmaps Using DirectShow

by Mingliang Zhu

An article showing how to easily but effectively extract all frames from a video as bitmaps

An Implementation Of The Connected Component Labelling Algorithm

by Torben Trindkaer Nielsen

This article presents the recursive connected component labelling algorithm with a workaround for the stack limitation. All in less than 70 lines of C/C++ code.

An introduction to OpenCV (Part II): Implementing mouse events, manipulating images, and creating video clips

by Markus Koppensteiner

Shows how to use OpenCV to write videos, how to implement mouse events, and presents some commands on image manipulation as well.

An Introduction to OpenCV: Displaying and Manipulating Video and Motion Data

by Markus Koppensteiner

Explains how to use some OpenCV commands for video manipulation.

Analog Gauge Reader

by Intel

This sample application takes an image or video frame of an analog gauge and reads the value using functions from the OpenCV* computer vision library.

Android Touch Gestures Capturing Interface

by pi19404

In this article, we will look at unistrore gesture recognition for Android devices

AndroidVision: Learn Image Processing on your mobile

by Serge Desmedt

Experiment with OpenCV imageprocessing methods on your mobile phone

AppRunner – Simple ‘desktop shortcut’ replacement

by tkontos

A WTL based, XML driven shortcut replacement

AR Jewellery Develops a New Shopping Paradigm for Tablets

by Member 11030029

Developer Serhiy Posokhin and his wife Antonina Posokhina, a designer by trade, recognized the potential of this technology in the world of jewelry and pursued its potential through the Intel® App Innovation Contest 2013 (AIC 2013).

Artificial Vision: AINECC Color Model in Edge Detection

by juancaruca

Artificial Vision: AINECC color model in edge detection. Entirely OpenCV code.

Automatic Trash Classification with Raspberry Pi and Arm NN Machine Learning

by Dawid Borycki

In this article, we'll demonstrate building an Arm NN-based application for an IoT device that can perform automatic trash sorting through image analysis.

Bag-of-Features Descriptor on SIFT Features with OpenCV (BoF-SIFT)

by Ravimal Bandara

An implementation of Bag-Of-Feature descriptor based on SIFT features using OpenCV and C++ for content based image retrieval applications.

Barcodescanner with webcam on Intel® Edison

by Intel

With barcode scanning being a standard on mobile devices one might want to enable Intel(R) Edison to run automated barcode scannings.

Barcodescanner with webcam on Intel® Edison

by Intel

With barcode scanning being a standard on mobile devices one might want to enable Intel(R) Edison to run automated barcode scannings.

Beginner's guide to understand Fingertips counting using convexity defects in OpenCV

by Dilan Shaminda

Capturing Images from Camera using Python and DirectShow

by Andreask84

In this article, I propose a simple application written entirely in Python that allows you to capture images from a camera using DirectShow and to perform simple processing on them using OpenCV.

Capturing Live-video from Web-camera on Windows 7 and Windows 8

by Evgeny Pereguda

Simple lib for capturing live-video from web-camera by using Media Foundation

Capturing motion from video using the Emgu CV library.

by Markus Koppensteiner

The article demonstrates how to use commands of the Emgu CV library to perform face recognition, frame subtraction, and dense optical flow.

Cat or Not - An Image Classifier using Python and Keras

by Ryan Peden

A code-first introduction to neural networks

Contour Analysis for Image Recognition in C#

by Pavel Torgashov

The theory of contour analysis and its practical application to image recognition and OCR

Creating a Text-to-speech engine with Google Tesseract and Arm NN on Raspberry Pi

by Dawid Borycki

How to choose and convert an existing TensorFlow model to work with Arm NN and best practices for model conversion and implementing Arm NN solutions.

Cropping Particular Region In Image Using C#

by furkanavcu

Image Cropping GUI For General Purpose

Custom Model Object Detection with OpenCV and ImageAI

by Glenn Prince

This article gives you a good starting point for your own object detection projects.

Data sharing between programming environments on Intel® Edison

by Intel

In my blog today, I am going to talk about publisher-subscriber model for sharing data between various programs running in Linux.

Datafly

by Grasshopper.iics

Is your business getting hampered due to documentation load? Switch to Datafly

Deep Learning in C#: Coin Detection Using OpenCV

by Arnaldo P. Castaño

In this series of articles we will use a deep neural network (DNN) to perform coin recognition. Specifically, we will train a DNN to recognize the coins in an image.

Delaunay Triangulation For Fast Mesh Generation

by HoshiKata

Practical on the fly fast mesh generation from arbitrary points.

Detecting a Drone - OpenCV in .NET for Beginners (Emgu CV 3.2, Visual Studio 2017). Part 2

by morzel

Detecting a drone - OpenCV in .NET for beginners

Developing Visual Retail Solutions Using Intel® Hardware and Software

by Intel

The Retail Workshop: Hands on Learning with Intel®-based Retail Solutions

DotCode Barcode SDK Programming in C++, Java, and C#

by Xiao Ling

This article demonstrates how to build DotCode webcam scan apps using C++, Java, and C#.

Driving Performance with Intel® Advisor’s Flow Graph Analyzer

by Intel

Optimizing Performance for an Autonomous Driving Application

Easy Android Camera2 with BoofCV

by lessthanoptimal

This article demonstrates how BoofCV greatly simplifies working with cameras on Android.

Easy application to detect and recognize faces with EmugCV

by Emanuel Santos

In this article i will show how to create a basic application to detect and recognize faces using EmugCV.

Easy to use Wrapper (DLL) for Intel's OpenCV Library with Examples

by Heiko Kiessling

The article describes an easy to use a wrapper for Intel's OpenCV lib with examples.

Edge Based Template Matching

by Shiju PK

Implementing an edge based template matching or pattern matching algorithm.

EMGU Kalman Filter

by C_Johnson

An intermediate example of signal processing using EMGU Image Processing Libraries

Extended GMM for Background Subtraction on GPU

by phoaivu

GPU Implementation of Extended Gaussian mixture model for Background Subtraction

Face and Eyes Detection Using OpenCV

by Zeeshan Ejaz Bhatti

This article demonstrates how to perform human face and eyes detection on images using OpenCV in .NET

Facial biometric authentication on your connected devices

by Afzaal Ahmad Zeeshan

In this post, I am going to walk you through creating your own central hub to allow your connected devices to authenticate people using facial recognition system.

Finding Training Data for OpenCV and ImageAI Object Detection

by Glenn Prince

In this article, we create an object detection model.

Game On: Intel® Edison with the Xadow Wearable Kit

by Intel

Game On: Intel® Edison with the Xadow Wearable Kit

Get Started with the Intel® Distribution of OpenVINO™ Toolkit and AWS Greengrass

by Intel

This section describes implementation of FaaS inference samples (based on Python 2.7) using Amazon Web Services (AWS) Greengrass and AWS Lambda software.

Get Started with the Intel® Distribution of OpenVINO™ Toolkit and Microsoft Azure IoT Edge

by Intel

This tutorial will go over how you could deploy a containerized Intel® Distribution of OpenVINO™ toolkit application over Azure IoT Edge.

Getting Started ‒ Installing Intel® IoT Developer Kit on Linux*

by matthias-hahn

The Intel® Internet of Things (IoT) Developer Kit (dev kit) is a complete solution for creating and testing applications targeted for Intel® IoT platforms like the Intel® Galileo board.

Getting Started with Intel® INDE OpenCV for Android Targets

by Android on Intel

This document is focused on creating OpenCV-enabled applications for Android. If the target operating system of your application is Windows

Getting Started with Intel® IoT Devkit & Intel® XDK IoT Edition

by matthias-hahn

The Intel Development Kit for IoT (IoTDK) is a complete solution to create and test applications for Intel IoT platforms like the Intel® Galileo and Edison maker boards.

Getting Started With OpenCvSharp 3

by King Coffee

Sample code for OpenCvSharp 3 quick start

HeadTexter, A Head Movement to Text Conversion using Intel Perceptual Computing SDK

by Grasshopper.iics

Head to Text conversion using Perceptual Computing SDK in C#

How to Build OpenCV for Windows with CUDA

by Vangos

This post will show you how to build OpenCV for Windows with CUDA.

How to Develop an Intelligent Autonomous Drone using an Android* Smartphone

by Android on Intel

For those of you who are interested in developing your own “smart” drone, this article provides easy directions for making an intelligent, autonomous drone using an Android* smartphone, OpenCV*, C++, and Java*.

How To Get Edison To espeak With a Scottish Accent

by Intel

Therefore, inspired by this webinar and the Echo I decided to add USB audio capabilities, and espeak was a reasonably easy choice. Using a Plantronics USB headset was almost plug and play and its was soon talking and even with a Scottish accent.

How to Use Intel® WiDi to Bring Your App to the Big Screen

by Android on Intel

Today I am writing to share my experience in optimizing Grace Application (an Android Application) for Intel® x86 architecture and using Intel® WiDi to bring the Grace App to the living room big screen.

Idea to Implementation: Sowing the First Seeds on a C++14 Project

by Zehaie M. Hailu

Image Alignment Algorithms

by Oleg Krivtsov

Implementing the Lucas-Kanade and Baker-Dellaert-Matthews image alignment algorithms.

Image Alignment Algorithms - Part II

by Oleg Krivtsov

Implementing and comparing the forwards compositional and the Hager-Belhumeur algorithms.

Image Classification Using Neural Networks in .NET

by hemanthk119

Image Classification implementation using Deep Belief Networks and Convolutional Neural Networks in .NET

Image Filters Using CPU, GPU, and C++ AMP

by Kerem Kat

Process webcam images on the CPU and GPU with OpenCV, CUDA and C++ AMP

Image Segmentation using Unsupervised Watershed Algorithm with an Over-segmentation Reduction Technique

by Ravimal Bandara

An implementation of unsupervised watershed algorithm to image segmentation with histogram matching technique for reduce over-segmentation by using openCV.

Image Tracking and Computer Vision Using Fourier Image Correlation

by HoshiKata

How to teach a program to recognize something within a video stream.

Image-blending using Python and OpenCV

by Markus Koppensteiner

Python code for image-blending based on an image mask

ImageGrassy: An Image Processing and Utility Tool

by Grasshopper.iics

The app provides easy image analysis, processing, pattern recognition, and algorithm development.

Inference Engine Samples

by Intel

This topic demonstrates how to run the Image Classification sample application, which does inference using image classification networks like AlexNet and GoogLeNet.

Infrared5 Case Study

by Intel

Infrared5 Case Study

Inside Dynamsoft Barcode SDK: Unveiling the Algorithm Intermediate Results

by Xiao Ling

In this article, we show you how to get intermediate results of Dynamsoft Barcode Reader SDK using Python and C code.

Installation Guide for Intel® Distribution of OpenVINO™ toolkit with Support for FPGA 2

by Intel

The Intel® Distribution of OpenVINO™ toolkit quickly deploys applications and solutions that emulate human vision.

Installing OpenCV and ImageAI for Object Detection

by Glenn Prince

In this article, we'll set up everything we need to build a hardhat detector with OpenCV.

Intel® Architecture Support Guide for Android Middleware Providers

by Android on Intel

This document gives an overview of what has to be done at the library/engine level to better support Intel platforms.

Intel® Computer Vision SDK - A Brief Overview

by Intel

In this blog I would like to share what I learned about the Intel® CV SDK and share some resources to help get you started in developing computer vision applications.

Intel® Computer Vision SDK Developer Guide

by Intel

The Intel® Computer Vision SDK is a new software development package for development and optimization of computer vision and image processing pipelines for Intel System-on-Chips (SoCs).

Intel® System Studio 2017 Beta

by Android on Intel

Intel® System Studio 2017 Beta has been released. This is the Beta program page which guides you further on Intel® System Studio 2017 Beta new features and enhanced usability experience.

Intelligent Screen Saver

by Zeeshan Ejaz Bhatti

A utility to control screen saver on your computer using computer vision (human face detection), rather than idle timer.

Introducing Portable Generic Image Library for C#

by Darko Jurić

Portable generic image library for C#

Introducing Portable Imaging IO Library for C#

by Darko Jurić

Portable video IO library for C#

Introduction to Natural Language Processing with NLTK

by Thomas Daniels

In this article we take a look at what you can do with the Natural Language Toolkit (NLTK).

Introduction to OpenCV

by Thomas Daniels

In this article let's get started hands-on with OpenCV.

Introduction to Smart Video Technologies from Intel

by Intel

This paper addresses how the Smart Video (SV) system architecture is increasing in complexity and evolving into new industries and use cases.

Keras UI: A GUI to Manage Image Classification

by Daniele Fontani

A tool for managing CNN training built on django helps to understand image classification

Let's Build a Robot!

by DataBytzAI

Are you a developer? ... then you can build a robot...

LipingPtr C++ Template Class

by Liping Dai

A C++ Smart Pointer Template Class Implementation

Mango, Photo Editor with OpenCV

by auralius manurung

An article on implementing basic use of OpenCV to manipulate pictures

Motion Detection in Android - Howto

by mengwangk

Using OpenCV4Android in Android App

Motion Heatmap

by Intel

This sample application is useful to see movement patterns over time.

Mouse Control via Webcam

by sajidhussainbaloch, saadhafeez, Anas Hashmi, Sajjad Idrees

Control your mouse using hand gestures

Multi Class Logistic Regression Training and Testing

by pi19404

IntroductionIn this article we will look at training and testing of a Multi-class Logistic Classifier Logistic regression is a probabilistic, linear classifier. It is parametrized by a weight matrix $W$ and a bias vector $b$. Classification is done by projecting data points onto a set of hyperpl

Navigating The Landscape Of Ides

by Intel

This article provides general guidelines to help you choose the right IDE for your projects as well as the high-level features and programming languages that each IDE supports.

Neon Intrinsics on Android: How to Truncate Thresholding and Convolution of a 1D Signal

by Dawid Borycki

In this article I will show you an approach can be easily employed to write efficient code that can be useful for signal and image processing, neural networks, or game applications.

Night vision camera in Android using OpenCV

by mengwangk

Night vision in Android using OpenCV

Object Feature Tracking in C#

by Darko Jurić

Pyramidal Kanade Lucas optical flow tracker

Object Recognition using Inference and Single Shot MultiBox Detector (SSD)

by Intel

This tutorial will walk you through the basics of using the Deep Learning Deployment Toolkit's Inference Engine (included in the Intel® Computer Vision SDK).

OpenCV Basic Image Processing on Android

by Cloudster

Get started with OpenCV on Android in 15 minutes

OpenCV in MFC

by _Flaviu

A way to use OpenCV in MFC project

Optimized Image Inversion Using SSE2

by Tolga Birdal

Fast image inversion forms a good basis for optimizing pixel wise operations. We will discuss the ways to achieve the best speed on this inversion operator.

Overview of Intel® Computer Vision SDK and How it Applies to IoT

by Intel

The Intel® Computer Vision SDK is an Intel-optimized and accelerated computer vision software development kit based on the OpenVX standard. The SDK integrates pre-built OpenCV with deep learning support using an included Deep Learning (DL) Deployment toolkit.

People Detection using OpenCV in Arduino Create

by Intel

Here we utilize the OpenCV libraries and apply the Histograms of Oriented Gradients (HOG) algorithm to create a computer vision application for people detection/counting.

Preparing Images for Object Detection With OpenCV and ImageAI

by Glenn Prince

In this article, we train our own custom model to detect if people are wearing hardhats.

Python AI and Machine Learning Libraries

by Thomas Daniels

In this article we can take a look at what libraries are available to work on AI and ML tasks.

Python Basics for Machine Learning and AI

by Thomas Daniels

This article provides some tips for experienced programmers to get up to speed with the basics of Python.

Real-time Barcode Scanning from Camera Stream

by Xiao Ling

In this post, we discuss how to leverage Dynamsoft Barcode Reader video decoding APIs to implement the barcode scanning functionality in camera preview scenario. Also, we demonstrate how to implement for desktop and mobile platforms respectively with the code snippet.

Realtime Webcam Sudoku Solver

by Bojan Banko

Sudoku solver via a webcam: A nice computer vision application

Renaming a workspace - .dsp and .dsw

by beetung

A hack to rename a workspace (MSVC6 only).

Rendering 3D Graphic in .NET with C# and Igneel.Graphics

by Ansel Castro

The article shows how to render 3D graphics with C# in .NET using an API Igneel.Graphics.

Rodney - A Long Time Coming Autonomous Robot (Part 2)

by Phil Hopley

Second part in a series on a ROS (Robot Operating System) House Bot

Scaling for IoT Market Demands

by Intel

As IoT demand drives increases in data volume, a more powerful processor is required, as well as additional storage.

See the world like a Terminator T-800. Augmented Reality with Oculus Rift.

by Intel

The mobile “TNG Augmented Rift” is a full field of view Augmented Reality device capable to do e.g. face tracking, face identification, emotion detection, heart rate detection, distance measurements, etc.

Smart Glasses to Help the Blind, With Pivothead LiveModPro and Intel Edison

by Intel

Smart Glasses to Help the Blind, With Pivothead LiveModPro and Intel Edison

Smarter Security Camera: A POC Using the Intel® IoT Gateway

by Intel

This article is a proof of concept to explore quickly prototyping an analytics solution at the edge using Intel® IoT Gateway computing power to create a Smarter Security Camera.

Stage 5-UROBI:The Ultimate Robotic Framework Over IoT For Arduino

by Grasshopper.iics

This tutorial present a step by step guide for building the ultimate robotic control and information sinking for Arduino Controlled Robots over Internet of Things

STL like template based coding with the MMX/SSE extension

by Hirotaka Niitsuma

STL like template based coding with the MMX/SSE extension using OpenCV, vigra, and boost.

Sunspot Surface Calculation (Case Study on solving complex problems)

by V.

Case study on how to solve a complex problem by dividing it into smaller problems.

Terminal Velocity Android

by PraveenOjha

An android game using NDK JNI and Java.

The New Power of Dynamsoft Barcode SDK: Decoding Direct Part Marking (DPM) Codes

by Xiao Ling

In this article, we discuss the unique challenges DPM codes present, and how Dynamsoft Barcode Reader overcomes these challenges with just a few lines of code.

The Selfie Robot: An Integrated Cloud Powered Framework

by Intel

Two of our interns in the DPI Community Evangelism group, Isabel Zhang and Milly Xun, have created an interesting IoT/Robotics project over the past two months.

Tools to Help Optimize Deep-Learning Performance

by Chris_Riley

This article explores how developers can make deep-learning applications faster and more efficient by taking advantage of tools that optimize deep-learning code.

Tracing Boundary in 2D Image Using Moore Neighborhood Approach

by Udaya K Unnikrishnan

Tracing the boundaries of an object in 2D image

TrackEye : Real-Time Tracking Of Human Eyes Using a Webcam

by zafersavas

Real-Time Tracking of Human Eyes in video sequences for Human-Computer Interaction using a webcam

Training a Custom Model with OpenCV and ImageAI

by Glenn Prince

In this article, we begin the process of creating a custom object detection model.

Transforming Images for Fun: A Local Grid-based Image Warper

by phoaivu

A platform-independent engine for image warping

Tuning Autonomous Driving Using Intel® System Studio

by Intel

Intel® GO™ SDK Offers Automotive Solution Developers an Integrated Solutions Environment

Ultra Rapid Object Detection in Computer Vision Applications with Haar-like Wavelet Features

by Chesnokov Yuriy

The article describes the use of Haar-like wavelet features for ultra fast object detection using a cascade of artificial neural network classifiers.

UP SQUARED Grove IoT Development Kit Getting Started Guide

by Intel

Follow these steps to connect your board to Arduino Create and begin working with your development kit.

Use Android Phone as Webcam and Surveillance Camera

by mengwangk

Android phone as webcam or remote surveillance camera through Skype

Use OpenCVdotNet to Capture Object on Webcam

by ngoxuandang

This program uses a webcam to take a picture of an object if there is a change in picture.

Use the Deep Learning Recognition Models in the Intel® Distribution of OpenVINO™ Toolkit

by Intel

This tutorial explores the use of deep learning models for face detection, age, gender, and emotion recognition, and head pose estimation included in versions of the Intel® Distribution of OpenVINO™ toolkit.

Using Intel® Libraries in Arduino Create

by Intel

This article will show you what libraries are available inside of Arduino Create for Intel®-based platforms running Linux.

Using OpenCL™ 2.0 Read-Write Images

by Android on Intel

Using OpenCL™ 2.0 Read-Write Images

Using Pointers in Image Processing

by napuzba

How to use pointers when processing images in C#

Using Pretrained Models to Detect People With OpenCV and ImageAI

by Glenn Prince

In this article, we'll have a look at some of the pretrained models we can use in ImageAI to start detecting people in images.

Video Texture in OpenGL

by Arsalan Malik

This article describes how a texture can be created in OpenGL from a live video stream from a web cam or a video file.

What inside of video analytics

by Alexandr Surkov

Principles of video analysis

What Resources Are Available to Developers Using Intel® INDE?

by Intel

In this article, we will introduce the components of INDE and show how developers can use them to create new applications and optimize existing applications. To start with Intel® INDE provides support for IDE integration.

Zero abstraction overhead with modern compilers

by Tobias Wenig

This article shows an easy way to implement basic image processing algorithms in a generic STL like way for a pixel iterator and benchmarks the results on different compilers.