DH2017 – Computer Vision in DH workshop (Hands-on)

Hands-on Part I – Computer Vision basics, theory, and tools


Instructor: Benoit Seguin (from Image and Visual Representation Lab – | École Polytechnique Fédérale de Lausanne)

An introduction of basic notions about the challenges of computer vision. A feeling of the simple, low-level operations necessary for the next stage.

Basic image operations: scikit-image
Face-object identification + identification: dlib
Deep Learning: Keras

What is CV?
How to gain high-level understanding from digital images or videos.
It tries to resolve tasks that humans can do (Wikipedia)

Human Vision System (HVS) versus Digital Image Processing (what the computer sees)

Our human understanding of images is way more complex than their digital version (arrays of pixels)
Convolution illustrated

Jupyter system (an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text);
– perform basic image operations;
– Play with different convolutions to develop intuition.

Hands-on Part II – Deep Learning and its application