A Method of Image-Based Water Surface Reconstruction

被引:1
|
作者
Zou, Ling [1 ]
Qi, Yue [2 ]
Wang, Guoping [1 ,3 ]
机构
[1] Peking Univ, Sch Elect Engn & Comp Sci, Graph & Interact Lab, Beijing 100871, Peoples R China
[2] Beihang Univ, State Key Lab Virtual Real Technol & Syst, Beijing 100191, Peoples R China
[3] Peking Univ, Beijing Engn Technol Res Ctr Virtual Simulat & Vi, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
Data acquisition; Image-based reconstruction; Water surface reconstruction;
D O I
10.1007/978-981-10-1536-6_57
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Natural phenomena simulation has attracted a spurt of research attention and interest in both computer graphics and virtual reality technology domains. Water is one of the most common phenomena in real world. Acquisition and modeling of different water movements have become one of the important research topics in recent years. In this paper, we design an acquisition system for capturing dynamic water surface. We also present an image-based method for water surface reconstruction. The goal of water surface reconstruction is to compute 3D coordinates and normals of dynamic water surface.
引用
收藏
页码:437 / 443
页数:7
相关论文
共 50 条
  • [41] An Introduction to Image-based 3D Surface Reconstruction and a Survey of Photometric Stereo Methods
    Herbort, Steffen
    Woehler, Christian
    3D RESEARCH, 2011, 2 (03) : 1 - 17
  • [42] A Fast Sparse Reconstruction Approach for High Resolution Image-based Object Surface Anomaly Detection
    Chai, Woon Huei
    Ho, Shen-Shyang
    Goh, Chi-Keong
    Chia, Liang-Tien
    Quek, Hiok Chai
    PROCEEDINGS OF THE FIFTEENTH IAPR INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS - MVA2017, 2017, : 13 - 16
  • [43] Surface Flows for Image-based Shading Design
    Vergne, Romain
    Barla, Pascal
    Fleming, Roland W.
    Granier, Xavier
    ACM TRANSACTIONS ON GRAPHICS, 2012, 31 (04):
  • [44] Laboratory water surface elevation estimation using image-based convolutional neural networks
    Chen, Jiaqi
    Liu, Haijiang
    OCEAN ENGINEERING, 2022, 248
  • [45] An Image-Based Benchmark Dataset and a Novel Object Detector for Water Surface Object Detection
    Zhou, Zhiguo
    Sun, Jiaen
    Yu, Jiabao
    Liu, Kaiyuan
    Duan, Junwei
    Chen, Long
    Chen, C. L. Philip
    FRONTIERS IN NEUROROBOTICS, 2021, 15
  • [46] Digital Image-Based Elasto-Tomography:: Proof of concept studies for surface based mechanical property reconstruction
    Peters, A
    Milsant, A
    Rouzé, K
    Ray, L
    Chase, JG
    Van Houten, EEW
    JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING, 2004, 47 (04) : 1117 - 1123
  • [47] An image-based method for animated stroke rendering
    Umenhoffer, Tamas
    Szirmay-Kalos, Laszlo
    Szecsi, Laszlo
    Lengyel, Zoltan
    Marinov, Gabor
    VISUAL COMPUTER, 2018, 34 (6-8): : 817 - 827
  • [48] A tolerance method for industrial image-based inspection
    Jia, Haibin
    Xi, Fengfeng
    Ghasempoor, Ahmad
    Dawoud, Amer
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 43 (11-12): : 1223 - 1234
  • [49] Image-Based Mosaics: An Variable Construction Method
    Chi, Dongxiang
    Li, Ming
    Zhao, Ying
    Xu, Gang
    Liu, Wenhong
    Hu, Jing
    2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 2, 2012, : 370 - 375
  • [50] A tolerance method for industrial image-based inspection
    Haibin Jia
    Fengfeng (Jeff) Xi
    Ahmad Ghasempoor
    Amer Dawoud
    The International Journal of Advanced Manufacturing Technology, 2009, 43 : 1223 - 1234