Hi everyone! I am Chamin, a boffin researcher from Morpho's CTO Office. As members of Morpho's main R&D division, we regularly attend conferences on Computer Vision and Machine Learning. This helps us to keep in touch with the state of the art, and also gain insights to new research topics. So, one (sometimes a few) of us would attend a conference, summarize the interesting stuff, and share them with the colleagues.
ICIP 2020 - The 2020 International Conference on Computational Photography - was
supposed to be held in St. Louis, USA. However, due to COVID-19 concerns, it was conducted as an online event. In this post, I will summarize a few interesting
papers from this conference.
In Computational Photography, we investigate digital processing techniques
that can replace or supplement optical processes that are used in taking
pictures. Admittedly, that sounds more like rocket science than photography, so
let me give you an example. Suppose you want to have a good bokeh effect in
photos that you take with your smartphone. If you rely solely on optics to do
this, you will end up with a thick phone that has a HUGE lens (expensive, hard
to carry and maintain, etc.). Instead, the present-day smartphones use a couple
of tiny cameras, other sensors, and computational photography techniques to
provide a similar effect. Figure 0 is an example for such a photo, taken with
an iPhone 11 Pro.
OK, so much for the introduction. The following are four of about a dozen ICCP 2020
papers that I summarized and shared with my colleagues. I hope you'll find them