Paper Contents
Abstract
The cinema industry invests significant amounts of money into creating CGI, including special effects, creatures, and scenery. This process is expensive due to the need for specialized equipment, such as suits and masks, to capture movements, as well as the requirement for substantial processing power and time investment. An alternative approach to 3D animation, which involves animating limb by limb, is also very time-consuming.For independent creators or those starting game development companies, the cost of specialized equipment is often prohibitive. One solution is to use Computer Vision to capture video footage of the desired action and then convert it into a 3D model using human pose estimation. This process involves determining the location of human body joints and how they are connected.Human pose estimation is an important step in action recognition, scene understanding, and human re-identification, as well as being a crucial component in potential smart camera systems and gaming and filming modeling. By working to design more robust 3D human pose estimators, we can advance this technology and enable further progress in the entertainment industry.
Copyright
Copyright © 2023 SATTI SAI MAHENDRA REDDY. This is an open access article distributed under the Creative Commons Attribution License.
