Data-driven weight optimization for real-time mesh deformation
نویسندگان
چکیده
منابع مشابه
Sparse Data Driven Mesh Deformation
LIN GAO, Institute of Computing Technology, Chinese Academy of Sciences YU-KUN LAI, School of Computer Science & Informatics, Cardiff University JIE YANG, Institute of Computing Technology, Chinese Academy of Sciences LING-XIAO ZHANG, Institute of Computing Technology, Chinese Academy of Sciences LEIF KOBBELT, RWTH Aachen University SHIHONG XIA, Institute of Computing Technology, Chinese Academ...
متن کاملAdaptive Remeshing for Real-Time Mesh Deformation
We present an adaptive isotropic remeshing technique that is fast enough to be used in interactive applications, such as mesh deformation or mesh sculpting. Previous real-time remeshing techniques are either not adaptive, hence requiring too many triangles, or make compromises in terms of triangle quality. High quality adaptive remeshing techniques are too slow for interactive applications. In ...
متن کاملUtility driven optimization of real time data broadcast schedules
Data dissemination in wireless environments is often accomplished by on-demand broadcasting. The time critical nature of the data requests plays an important role in scheduling these broadcasts. Most research in on-demand broadcast scheduling has focused on the timely servicing of requests so as to minimize the number of missed deadlines. However, there exists many environments where the utilit...
متن کاملImage-Driven Mesh Optimization
We describe a method of improving the appearance of a low vertex count mesh in a manner that is guided by rendered images of the original, detailed mesh. This approach is motivated by the fact that greedy simplification methods often yield meshes that are poorer than what can be represented with a given number of vertices. Our approach relies on edge swaps and vertex teleports to alter the mesh...
متن کاملReal-Time and Data-Driven Operation Optimization and Knowledge Discovery for an Enterprise Information System
Real-Time and Data-Driven Operation Optimization and Knowledge Discovery for an Enterprise Information System
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Graphical Models
سال: 2019
ISSN: 1524-0703
DOI: 10.1016/j.gmod.2019.101037