Creating of Three-dimension Terrain Scene Based on VRML

Abstract

Abstract: The paper studies in detail the characteristic and dynamic interactive principle of VRML(virtual reality modelling language),and the technology of three-dimension terrain scene's creating based on VRML.And extends proto nodes according to VRML's syntax.This results in large scale terrain date into directly VRML world ,high-precision mathematical calculate and real time interactive wander on networks.

摘要： 详细分析了VRML的特点、动态交互的原理及其在VRML中三维地形场景的生成技术。依照VRML语法扩展了适合三维地形网络表达的VRML原型节点，从而将使三维大规模地形数据可直接进入VRML世界、高精度数学运算和实时交互漫游。

关键词: VRML, 三维地形可视化, VRML原型节点

CLC Number:

TP391.41

PENG Yipu1,LI Yanshan2. Creating of Three-dimension Terrain Scene Based on VRML[J]. , 2003, 29(10): 42-44.

彭仪普,李延山. 基于VRML的三维地形场景生成[J]. , 2003, 29(10): 42-44.

/ Recommend / Download Citations

URL: https://www.ecice06.com/EN/Y2003/V29/I10/42

[1]	DONG Liangzhen, TIAN Jianyan, YANG Shengqiang, CHEN Haibin. Image Enhancement of Parts Surface Based on Illumination Correction and Image Fusion [J]. Computer Engineering, 2024, 50(6): 245-254.
[2]	LI Jing, LI Jian, CHEN Haifeng, ZHANG Qian, WANG Liyan, PEI Ercheng. Facial Expression Recognition Based on Key Region Masking and Reconstruction [J]. Computer Engineering, 2024, 50(5): 241-249.
[3]	LONG Chenzhi, CHEN Ping, LI Chuankun. Fusing Global-Local Contextual Information for Small Object Multi-Person Pose Estimation [J]. Computer Engineering, 2024, 50(4): 342-349.
[4]	LIU Yanhong, YANG Qiuxiang, HU Shuai. Research on Multi-Scale Feature Fusion Dehazing Network Based on Feature Differences [J]. Computer Engineering, 2024, 50(4): 247-257.
[5]	WEI Ziwei, QU Dan, LIU Cong. Method for Person Re-identification Feature Extraction Based on Connected Attention [J]. Computer Engineering, 2022, 48(7): 220-226.
[6]	ZHANG Yexing, CHEN Min, PAN Qiuyu. Object Detection Method Based on Feature Channel Modeling [J]. Computer Engineering, 2022, 48(7): 264-269,299.
[7]	HAO Axiang, JIA Guojun. Person Re-identification Model Combining Attention and Batch Feature Erasure [J]. Computer Engineering, 2022, 48(7): 270-276,306.
[8]	CUI Yunxuan, LIU Guihua, YU Dongying, GUO Zhongyuan, ZHANG Wenkai. Lidar-Mono-Inertial SLAM System with Fusion of Point-Line Features [J]. Computer Engineering, 2022, 48(7): 254-263.
[9]	HU Xinrong, GONG Chuang, ZHANG Zili, ZHU Qiang, PENG Tao, HE Ruhan. Clothing Image Segmentation Network Based on Improved Deeplab v3+ [J]. Computer Engineering, 2022, 48(7): 284-291.
[10]	WANG Anzhi, REN Chunhong, HE Linyan, YANG Yuanying, QU Weihua. Light Field Salient Object Detection Based on Multi-modal Multi-level Feature Aggregation Network [J]. Computer Engineering, 2022, 48(7): 227-233,240.
[11]	ZHOU Peichun, WU Lan'an. Multi-Scale Multi-Kernel Gaussian Process Latent Variable Model [J]. Computer Engineering, 2021, 47(2): 285-292.
[12]	GU Li, JI Yi, LIU Chunping. Classification Method of Three-Dimensional Point Cloud Based on Multiple Modal Feature Fusion [J]. Computer Engineering, 2021, 47(2): 279-284.
[13]	WANG Lin, LI Conghui. Pedestrian Attribute Recognition Based on Multi-Level Attention Skip Connection Network [J]. Computer Engineering, 2021, 47(2): 314-320.
[14]	CHEN Yang, LI Dawei. Monocular Image Depth Understanding Based on Scene Modality Depth Understanding Network [J]. Computer Engineering, 2021, 47(2): 268-278.
[15]	ZHOU Linyong, XIE Xiaoyao, LIU Zhijie, TAN Hongwei, YOU Shanping. Image Identification Algorithm Based on ACGAN [J]. Computer Engineering, 2019, 45(10): 246-252,259.

Please choose a citation manager

Content to export