Title
Feature refinement strategy for extended marching cubes: Handling on dynamic nature of real-time sculpting application
Abstract
Digital sculpting is a new trend for creating 3D models, but its application in the manipulation of volumetric data raises several issues that need to be addressed. With the extended marching cubes algorithm (EMC), sharp features of 3D models are well preserved. Additionally, the dynamic nature of modifying models in real time needs to be dealt with in sculpting applications: since the sampling of sharp features is implicit, direct modification on cell data will cause problems. A feature refinement strategy is proposed to preserve the dynamically modified model correct, and efficiently. Overall, the proposed methods provide an adaptive resolution and feature-preserved sculpting system that handles dynamic behavior in real-time performance
Year
DOI
Venue
2004
10.1109/ICME.2004.1394335
ICME
Keywords
Field
DocType
feature refinement strategy,extended marching cubes algorithm,computer graphics,dynamic real time model modification,computational geometry,dynamic real-time sculpting,feature-preserved sculpting system,3d models,sharp feature sampling,direct cell data modification,image sampling,feature extraction,digital sculpting,volumetric data manipulation,solid modelling,adaptive resolution,real-time systems,sampling methods,geometric modeling,electromagnetic compatibility,real time systems,data engineering,marching cube,real time,computer science,application software,data mining
Computer vision,Computer science,Computational geometry,Geometric modeling,Marching cubes,Feature extraction,Sampling (statistics),Artificial intelligence,Volumetric data,Digital sculpting,Computer graphics
Conference
Volume
ISBN
Citations 
2
0-7803-8603-5
0
PageRank 
References 
Authors
0.34
14
8
Name
Order
Citations
PageRank
Chien-Chang Ho1383.33
Yan-hong Lu200.34
Hung-te Lin300.34
Shuen-huei Guan4134.82
Sheng-yao Cho510.75
Rung-huei Liang612324.71
Bing-Yu Chen71132101.82
Ming Ouhyoung81609266.64