GPU-Accelerated Real-Time Mesh Simplification Using Parallel Half Edge Collapses

被引:3
|
作者
Odaker, Thomas [1 ]
Kranzlmueller, Dieter [1 ]
Volkert, Jens [2 ]
机构
[1] Univ Munich, Munich, Germany
[2] Johannes Kepler Univ Linz, A-4040 Linz, Austria
关键词
D O I
10.1007/978-3-319-29817-7_10
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Mesh simplification is often used to create an approximation of a model that requires less processing time. We present the results of our approach to simplification, the parallel half edge collapse. Based on the half edge collapse that replaces an edge with one of its endpoints, we have devised a simplification method that allows the execution of half edge collapses on multiple vertex pairs of a mesh in parallel, using a set of per-vertex boundaries to avoid topological inconsistencies or mesh foldovers. This approach enables us to remove up to several thousand vertices of a mesh in parallel, depending on the model and mesh topology. We have developed an implementation that allows to exploit the parallel capabilities of modern graphics processors, enabling us to compute a view-dependent simplification of triangle meshes in real-time.
引用
收藏
页码:107 / 118
页数:12
相关论文
共 50 条
  • [21] A Robust Real-Time Indoor NavigationTechnique Based on GPU-Accelerated Feature Matching
    Cheng, Jianghua
    Zhu, Xiangwei
    Ding, Wenxia
    Gao, Gui
    2016 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN), 2016,
  • [22] Real-time dose computation: GPU-accelerated source modeling and superposition/convolution
    Jacques, Robert
    Wong, John
    Taylor, Russell
    McNutt, Todd
    MEDICAL PHYSICS, 2011, 38 (01) : 294 - 305
  • [23] A GPU-accelerated real-time human voice separation framework for mobile phones
    Chen, Gang
    Zheng, Yi
    Zhou, Zhaoheng
    He, Shengyu
    Yi, Wang
    JOURNAL OF SYSTEMS ARCHITECTURE, 2023, 145
  • [24] A GPU-Accelerated Real-Time NLMeans Algorithm for Denoising Color Video Sequences
    Goossens, Bart
    Luong, Hiep
    Aelterman, Jan
    Pizurica, Aleksandra
    Philips, Wilfried
    ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PT II, 2010, 6475 : 46 - 57
  • [25] A GPU-ACCELERATED REAL-TIME IMPLEMENTATION OF TRINICON-BSS FOR MULTIPLE SEPARATION UNITS
    Anderson, Craig A.
    Meier, Stefan
    Kellermann, Walter
    Teal, Paul D.
    Poletti, Mark A.
    2014 4TH JOINT WORKSHOP ON HANDS-FREE SPEECH COMMUNICATION AND MICROPHONE ARRAYS (HSCMA), 2014, : 102 - 106
  • [26] GPU-accelerated real-time IR smoke screen simulation and assessment of its obscuration
    Wu Xin
    Zhang Jian-qi
    Huang Xi
    Liu De-lian
    INFRARED PHYSICS & TECHNOLOGY, 2012, 55 (01) : 150 - 155
  • [27] Real-Time Implementation of GPU-Accelerated Neural Network Learning for Dynamic System Identification
    Autobee, Nicholas
    Rowsell, Amanda
    Bales-Parks, Patrick
    Park, Jae-Do
    2021 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2021, : 1319 - 1326
  • [28] GPU-accelerated Real-time Free-viewpoint DIBR for 3DTV
    Do, Luat
    Bravo, German
    Zinger, Svitlana
    de With, Peter H. N.
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2012, 58 (02) : 633 - 640
  • [29] GPU-accelerated depth codec for real-time, high-quality light field reconstruction
    Koniaris, Babis
    Kosek, Maggie
    Sinclair, David
    Mitchell, Kenny
    PROCEEDINGS OF THE ACM ON COMPUTER GRAPHICS AND INTERACTIVE TECHNIQUES, 2018, 1 (01)
  • [30] Towards real-time detection of seizures in awake rats with GPU-accelerated diffuse optical tomography
    Zhang, Tao
    Zhou, Junli
    Carney, Paul R.
    Jiang, Huabei
    JOURNAL OF NEUROSCIENCE METHODS, 2015, 240 : 28 - 36