Object identification & recognition in digital image processing

Object recognition by computer programs is the biggest promise of a endless range of new application and appliances (Internet of things) . Robotics, devices can be much more smart if they could be able to recognize objects viewed by a webcam.

So I experimented some software technics to reach this capability. In detail I concentrated into:

1. finding points of interest in images and linking them by optimal triangles (Delaunay triangulation).
2. Let users select which triangles best approximate the choosen object shape
3. Using periferic points of selected triangles to find other instances of that object in different images or videos by mean of a “projection transform” (2D Homography) . I’ve still to do this but with main algorithm already made for this develop.

This picture is an example of first 2 steps:

If you wish directly experiment this function, below is the Flash app developed. You’ll have to:

• accept webcam input
• take image to elaborate pressing “Rileva” (Detect)
• after few seconds you’ll have the points of interest on right side and, with right click on image, select “Vedi Aree” (Show Areas)

Pubblicità