Particle-based inverse kinematic rendering system
US10535174B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 14, 2017 |
| Grant date | Jan 14, 2020 |
| Priority date | — |
| Expiry date | Dec 18, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2213/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides embodiments of a particle-based inverse kinematic analysis system. The inverse kinematic system can utilize a neural network, also referred to as a deep neural network, which utilizes machine learning processes in order to create poses that are more life-like and realistic. The system can generate prediction models using motion capture data. The motion capture data can be aggregated and analyzed in order to train the neural network. The neural network can determine rules and constraints that govern how joints and connectors of a character model move in order to create realistic motion of the character model within the game application.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.