Siggraph 2014: Eigenmode Compression for Modal Sound Models
Автор: Marco Polo
Загружено: 2014-07-17
Просмотров: 8073
Описание:
http://www.cs.cornell.edu/Projects/So...
Abstract
We propose and evaluate a method for significantly compressing modal sound models, thereby making them far more practical for audiovisual applications. The dense eigenmode matrix, needed to compute the sound model's response to contact forces, can consume tens to thousands of megabytes depending on mesh resolution and mode count. Our eigenmode compression pipeline is based on nonlinear optimization of Moving Least Squares (MLS) approximations. Enhanced compression is achieved by exploiting symmetry both within and between eigenmodes, and by adaptively assigning per-mode error levels based on human perception of the far-field pressure amplitudes. Our method provides smooth eigenmode approximations, and efficient random access. We demonstrate that, in many cases, hundredfold compression ratios can be achieved without audible degradation of the rendered sound.
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
![[SIGGRAPH 2018] Toward Wave-based Sound Synthesis for Computer Animation](https://imager.clipsaver.ru/su6z9snjU-U/max.jpg)
![[SIGGRAPH 2017] A Multi-Scale Model for Simulating Liquid-Hair Interactions](https://imager.clipsaver.ru/9Oo0TlprwAQ/max.jpg)
