• J.Harini
• A.Durga Grishmitha
• M.Pallavi
• G.Venkata Sai Karthik

This Real-Time Rendering technology is also known as “Live Animation”, or “Real-Time Performance Capture”, is the process of using a motion capture system to render a 3D character alive and in real-time. The facial expressions of the user’s are captured through a real-time 3D no rigid tracking system. Transfer of expression is achieved by combining a generic expression model with synthetically generated examples that better capture person specific characteristics. Performance of the system is evaluated on avatars of real people as well as masks, cartoon characters and other dolls, statues including few actresses and actors.

Keyframes, Motion capture, Skeleton, Rigging, Inverse Kinematics, Morphing, Tweening, Interpolation, Particle systems, Textures, Rendering, Tracking, Masking, Lighting.

"REAL-TIME RENDERING USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.e442-e447, May-2023, Available :http://www.jetir.org/papers/JETIR2305461.pdf

"REAL-TIME RENDERING USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppe442-e447, May-2023, Available at : http://www.jetir.org/papers/JETIR2305461.pdf