 Dear Fellow Scholars, this is two-minute papers with Karoizona Ifeher. This is a cone-based ray tracing algorithm for rendering photorealistic images of hair and furry objects where the number of hair strands is typically over a hundred thousand. Okay, wait, what do these terms mean exactly? Ray tracing means a bona fide light simulation program where we follow the path of many millions of light rays between the light sources and our camera. This usually means that light reflections and refractions, lens blur and defocus are taken into consideration. This feature is also referred to as depth of field where DOF in short, as you can see in the video. A fully ray traced system like this for hair and fur leads to absolutely beautiful images that you can see throughout this footage. So what about the cone-based part? Earlier, we had an episode about voxel cone tracing which is an absolutely amazing technique to perform ray tracing in real time. It works by replacing these infinitely thin light rays with thicker cone-shaped rays which reduces the execution time of the algorithm significantly at the cost of mostly a minor sometimes even imperceptible degradation in image quality. Since the hair strands that we are trying to hit with the rays are extremely thin and cone tracing makes the rays thicker, extending this concept to rendering fur without non-trivial extensions is going to be a fruitless endeavor. The paper contains techniques to overcome this issue and an efficient data structure is proposed to store and find the individual hair strands and the way to intersect these cones with the fibers. The algorithm is also able to adapt the cone sizes to the scene we have at hand. The previous techniques typically took at least 20 to 30 minutes to render one image and with this efficient solution will be greeted by a photorealistic image at least 4 to 6 times quicker in less than 5 minutes while some examples were completed in less than a minute. I cannot get tired of seeing these tiny photorealistic furry animals in Pixar movies and I am super happy to see there is likely going to be much, much more of these. By the way, if you are subscribed to the channel, please click the little bell next to the subscription icon to make sure you never miss an episode. Also, you can follow us on Twitter for updates. Thanks for watching and for your generous support. I'll see you next time.