This document provides an overview of OpenCV, an open source library for computer vision, image processing and machine learning. It discusses OpenCV's history and capabilities. It also outlines how to set up an Android development environment for OpenCV and covers topics like basic image processing, real-time video, face detection and color detection applications. Sample code is provided for loading and processing images and video from the device.

2. What is OpenCV
0 Introduction about openCV.
0 Its development history and usage.
0 The capabilities of openCV.
0 Sample end applications of openCV

3. Image Processing
0 Image processing fundamentals.
0 How images are stored in OpenCV
0 Basic image processing theory.
0 How to design an Image processing based application.

4. Setting up Eclipse for OpenCV
0 Installing NDK along with the android SDK.
0 Adding the openCV libraries to a project.
0 How to compile a new project with openCV support.

5. Basic OpenCV
0 Applying OpenCV on an image loaded from the
android devices SD card.
0 Image processing algorithm that can be performed on
a static image already present on the computer.
0 How to take a picture with android intent system and
directly performing some algorthim on the result.

6. Real Time OpenCV
0 How to connect to the devices camera and obtain real
time video streams.
0 Displaying this stream with a surfaceView on the
android device.
0 Studying methods of overlaying layers and views on
top of the real time video stream.

7. OpenCV applications
0 Performing simple image processing techniques on a
real time video stream.
0 Studying face detecting tecqniques with a Haar
classifier.
0 Manipulating the video feed for advanced
applications.
0 Color detection using a touch event to detect area.