Due to the technological advances in hardware and compute power nowadays the visual data is collected in huge amounts practically by everyone. The digital cameras are pervasive. Most of the smart devices include camera sensors and are capable of capturing stills and videos. With these large amounts of visual data there is a pressing need to automatically process, organize, interpret the data and refine the visual data in ways that humans are capable of. How to achieve such goals? What are the challenges? What are the solutions? What is state-of-the-art? How can we further improve the state-of-the-art? In this Praktikum Image Processing and Computational Photography, we work in groups (1 to maximum 3 participants per each group), hands-on, and for several image processing and computational photography tasks we review, explore and master the state-of-the-art under the form of the best open source solutions and further assess the pluses and minuses of these solutions and propose alternatives. Each participant will work on a specific computational photography topic of interest.
- Dozent: Radu Timofte