Presently working as a CG Supervisor with Xentrix Studio, Mythravarun Vepakomma, who feels that Blender as Software can be of greater benefit to Compositors, has brought this thought into action by writing a 110 pages book on Blender Compositing and Post Processing, which is now out on Am
azon and Google play store.
On the Academic front, Mythravarun is graduated in the discipline of Electrical and Electronics Engineering, but chose to step into the Animation Industry as he was passionate about comics and cartoon creations.
Written by Mythravarun in 3 months time, this book offers wide range of info to CG digital artists, starting from Color spaces, Linear Workflow, Grading tools, Render passes / Layers, Relighting, Texture mapping, keying, Masking, Edge Filtering and Camera Effects.
Blended with pictorial descriptions, the book can be a good read if you want to understand the ins and outs of adding photo realism and life to footage and strategizing, implementing productive compositing pipelines
Speaking to AnimationXpress.com about the book, Mythravarun, says, “Been testing blender from long time and I always felt blender has better potential as a compositing software. It’s a coincidence that I was exploring Blender compositor to fit it into CG pipeline and I was approached by PACKT publishing to write this book.”
“Vision with this book is to provide progressive step-by-step process with simple and apt illustrations to make a stunning image or to set up a pipeline.” Adds more
Mythravarun points out that this book is a Compositing Guide for beginners who are new to using Blender’s Compositing. He is sure that each chapter in the book progressively adds to one’s skill set, covering a wide range of CG film making compositing concepts.
Concluding the conversation with us, Mythravarun shares the research that he undertook for writing the book, “Well, it was segregating different compositing tasks in VFX or CG Film making, their implementation in blender and to organize them to form content with a progressively increasing complexity levels. “
