The Wavelet sample application shows how to use the Wavelet transform filter to process images using wavelet transforms such as the Haar and CDF9/7.
Automatic Linguistic Indexing of Pictures
This application demonstrates how computers may be used in intelligent annotation of the audio, video or image media data content.
In this demo experiment we annotated the simple natural image categories. There are 5 ANN classifiers in the project corresponding to:
- Pictures that might contain animals
- Pictures that might contain flowers
- Pictures that might contain landscapes
- Pictures that might contain sunsets
- Others pictures that do not contain the above categories or simply unknown image type
Corners detection (FAST)
Demonstrates how to perform corners detection using the FAST corners detector. As the name implies, the FAST detector is one of the fastest corners detectors available in the framework.
Mouse Control via Webcam
This application image processing, through which we try to recognize hand gestures and control mouse using these gestures. In this app, cursor movement is controlled by the movement of hand and click events are triggered using hand gestures.
Vision on Virtual Commands
This application is used to show how a computer interacts with a human and converts his/her motion in command actions. It detects motion and converts that motion into the respective command actions.
To detect motion, it uses a simple algorithm of subtracting two images. Every image is made up of three layers: red, blue, and green. Thus, each of the pixels in an image holds three values corresponding to its RGB.
Computer Vision: Virtual Buttons
Wouldn't it be great if you could control your computer with your hands? In this demonstration, you will see a small application to control the Windows Media Player with my hand motion and an ordinary web-cam. You can see the picture above; this application creates three "hot-spots" in the web-cam view, and you can assume that these hot-spots are virtual buttons, and they get activated when you make a click movement in them.
Handwriting (Multi-class SVM)
Handwritten digits recognition by using Multi-class Kernel Support Vector Machines.