SciPyCon Argentina 2014

Bahía Blanca, Oct. 20-24.

Satellite Events

From Monday to Friday, 10 to 12 in the morning Manuel M. Oliveira is going to give a course:

Introduction to Computational Photography

Course Description

Computational Photography is a new field that seeks to create new photographic functionalities and experiences that go beyond what is possible with traditional cameras and image processing tools. Computational Photography describes the convergence of computer graphics, computer vision, and the Internet with photography. Its goal is to overcome the limitations of traditional photography using computational techniques to enhance the way we capture, manipulate, and interact with visual media.

In this course we will study many interesting, recent image based algorithms, and introduce the audience to some of the main concepts involved in Computational Photography. Some selected techniques will be discussed in depth.


An Overview of Computational Photography Techniques.Cameras and image formation. Human visual perception Image Compositing. Image blending. Image retargeting. Texture synthesis and transfer. Image completion / inpainting. The Domain Transform: Efficient Edge-Aware Geodesic Filtering. Super-resolution, deblurring, and denoising. Adaptive Manifolds: Efficient Edge-Aware Euclidean Filtering. Fast Non-blind Image Deconvolution. Advanced topics. Image based lighting and rendering. High dynamic. Single / multi view reconstruction. Photo quality assessment. Additional material Classes will be supplemented with additional material such as programming tools, videos, hands-on practical problems, and readings. A set of applied rendering problems and of research topics will be provided as motivation for the final project.

Basic Bibliography
  • Computer Vision: Algorithms and Applications, Richard Szeliski, Microsoft Research, 2010.
  • Photography (8th edition), London and Upton
  • Vision Science: Photons to Phenomenology, Stephen Palmer
  • Digital Image Processing, 2nd edition, Gonzalez and Woods
  • The Art and Science of Digital Compositing, Ron Brinkmann
  • Multiple View Geometry in Computer Vision, Hartley & Zisserman
  • The Computer Image, Watt and Policarpo
  • 3D Computer Graphics (3rd Edition), Watt