QCRI researcher jointly develops new film-making technique
QCRI’s Dr Mohamed Elgharib, along with collaborators from Trinity College in Dublin, has devised a technique that can reproduce moving images in an artist’s original style.
A paper about the technology, known as non-photo realistic rendering technique, will be presented at the world’s largest annual event in computer graphics and interactive techniques, the Special Interest Group on Graphics and Interactive Techniques (SIGGRAPH) conference in California on July 24.
The technology goes several steps further than current state-of-the-art advances in recreating the painting styles of artists such as Vincent Van Gogh. For example, this new technique can maintain the structure of underlying objects in portraits, which are usually difficult to reproduce because abnormalities in people’s faces are easily spotted.
“In images like portraits it’s very important to maintain the structure of facial features and current approaches will corrupt them. We can more accurately capture the strokes of an original painting than other techniques,” Elgharib said.
“Current approaches for generating painted movies are manual and they are very expensive in both time and production cost. The total production budget of Loving Vincent is between 5 to 15 million euros. Our approach, however, is fully automated and much cheaper. We just need some servers and we are ready to go,” Elgharib said.
The technology also lends itself to selfies, Facebook profile pictures and portraits.
Elgharib and other QCRI scientists are now exploring the use of the same features to solve other problems in analysing virtual reality content.
In the Media
Researchers from MIT and the Qatar Computing Research Institute have developed a novel new facility in the current rush of interest towards computer vision – an algorithm that can identify overweight...
A growing number of people have expressed their concern about high levels of polarization in society. For instance, the World Economic Forum's report on global risks lists the increasing societal ...
Big data is a big deal. With these huge data sets, analysts can gain unprecedented insight into the hidden patterns of fields like physics, healthcare, and finance. Collecting and analyzing this data...
The QCRI – MIT CSAIL Annual Research Project Review is open to the public on Monday, March 27, 2017, at the HBKU Research Complex Multipurpose Room. The annual meeting is a highlight of a ...
Machine Learning and Data Analytics Symposium - MLDAS 2017 Building on the success of the three previous events , Boeing and QCRI will hold the Fourth Machine Learning and Data Analytics Symposium (...
The Boeing Company has announced that it will once again partner with the Qatar Computing Research Institute (QCRI), part of Hamad bin Khalifa University, to host the fourth annual Machine Learning ...