After a brief introduction to the state of art of computer vision, the class will get a clear picture of what a computer actually sees. How is a digital image created and processed by a computer? You will then dive into the basics of computer vision to understand how a computer could recognize a number in an image by looking for some of its characteristics (or features). This will lead to the use of neural networks in the field of computer vision. A simple yet accurate explanation of neural networks such as perceptrons, convolutional neural networks and Haar features will be provided.

The hands-on experiments are designed to visually understand the science behind computer vision without any mathematical knowledge required. The students will also experience a live neural network to fully embrace the concept and interactively participate in the process.

The workshop will provide the following informations to the class

• Introduced to the state of art of computer vision
• Understanding of the basics of neural networks and perceptrons
• Understanding the Viola & Jones paper and the introduced Haar characteristics
• Programming a face detection tool with Python and the Haar features from the paper

This 3 hour workshop is suited for students from 3^e to 1^e. This workshop also has a beginner version which is suited for pupils from 7^e to 5^e.

The workshops in computer science take place in the Maison du Savoir (MSA) on Campus Belval.  Please wait in the lobby, we will pick you up from there.

If you arrive by car or coach, take the A4 and keep it until the end, then follow the signs towards “Belval”. On the campus, there are no signs to indicate the way to Maison du Savoir. Please use the map below to find your way.

If you arrive by train, the stop is “Belval Université”. Our building is 10 minutes away from the train station by foot. There are also several buses that you can take to arrive on the campus.