Haptics-based dynamic implicit solid modeling.
Identifieur interne : 00B146 ( Main/Merge ); précédent : 00B145; suivant : 00B147Haptics-based dynamic implicit solid modeling.
Auteurs : Jing Hua [États-Unis] ; Hong QinSource :
- IEEE transactions on visualization and computer graphics [ 1077-2626 ]
English descriptors
- KwdEn :
- Algorithms, Artificial Intelligence, Cluster Analysis, Computer Graphics, Computer Simulation, Computer-Aided Design, Image Enhancement (methods), Image Interpretation, Computer-Assisted (methods), Imaging, Three-Dimensional (methods), Information Storage and Retrieval (methods), Models, Statistical, Models, Theoretical, Numerical Analysis, Computer-Assisted, Pattern Recognition, Automated (methods), Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Touch, User-Computer Interface.
- MESH :
- methods : Image Enhancement, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Information Storage and Retrieval, Pattern Recognition, Automated.
- Algorithms, Artificial Intelligence, Cluster Analysis, Computer Graphics, Computer Simulation, Computer-Aided Design, Models, Statistical, Models, Theoretical, Numerical Analysis, Computer-Assisted, Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Touch, User-Computer Interface.
Abstract
This paper systematically presents a novel, interactive solid modeling framework, Haptics-based Dynamic Implicit Solid Modeling, which is founded upon volumetric implicit functions and powerful physics-based modeling. In particular, we augment our modeling framework with a haptic mechanism in order to take advantage of additional realism associated with a 3D haptic interface. Our dynamic implicit solids are semi-algebraic sets of volumetric implicit functions and are governed by the principles of dynamics, hence responding to sculpting forces in a natural and predictable manner. In order to directly manipulate existing volumetric data sets as well as point clouds, we develop a hierarchical fitting algorithm to reconstruct and represent discrete data sets using our continuous implicit functions, which permit users to further design and edit those existing 3D models in real-time using a large variety of haptic and geometric toolkits, and visualize their interactive deformation at arbitrary resolution. The additional geometric and physical constraints afford more sophisticated control of the dynamic implicit solids. The versatility of our dynamic implicit modeling enables the user to easily modify both the geometry and the topology of modeled objects, while the inherent physical properties can offer an intuitive haptic interface for direct manipulation with force feedback.
DOI: 10.1109/TVCG.2004.28
PubMed: 15794139
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pubmed:15794139Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Haptics-based dynamic implicit solid modeling.</title><author><name sortKey="Hua, Jing" sort="Hua, Jing" uniqKey="Hua J" first="Jing" last="Hua">Jing Hua</name><affiliation wicri:level="2"><nlm:affiliation>Center for Visual Computing and the Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY 11794-4400, USA. jinghua@cs.sunysb.edu</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Visual Computing and the Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY 11794-4400</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation></author><author><name sortKey="Qin, Hong" sort="Qin, Hong" uniqKey="Qin H" first="Hong" last="Qin">Hong Qin</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="????"><PubDate><MedlineDate>2004 Sep-Oct</MedlineDate></PubDate></date><idno type="RBID">pubmed:15794139</idno><idno type="pmid">15794139</idno><idno type="doi">10.1109/TVCG.2004.28</idno><idno type="wicri:Area/PubMed/Corpus">001949</idno><idno type="wicri:Area/PubMed/Curation">001949</idno><idno type="wicri:Area/PubMed/Checkpoint">002350</idno><idno type="wicri:Area/Ncbi/Merge">000738</idno><idno type="wicri:Area/Ncbi/Curation">000738</idno><idno type="wicri:Area/Ncbi/Checkpoint">000738</idno><idno type="wicri:doubleKey">1077-2626::Hua J:haptics:based:dynamic</idno><idno type="wicri:Area/Main/Merge">00B146</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Haptics-based dynamic implicit solid modeling.</title><author><name sortKey="Hua, Jing" sort="Hua, Jing" uniqKey="Hua J" first="Jing" last="Hua">Jing Hua</name><affiliation wicri:level="2"><nlm:affiliation>Center for Visual Computing and the Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY 11794-4400, USA. jinghua@cs.sunysb.edu</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Visual Computing and the Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY 11794-4400</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation></author><author><name sortKey="Qin, Hong" sort="Qin, Hong" uniqKey="Qin H" first="Hong" last="Qin">Hong Qin</name></author></analytic><series><title level="j">IEEE transactions on visualization and computer graphics</title><idno type="ISSN">1077-2626</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Artificial Intelligence</term><term>Cluster Analysis</term><term>Computer Graphics</term><term>Computer Simulation</term><term>Computer-Aided Design</term><term>Image Enhancement (methods)</term><term>Image Interpretation, Computer-Assisted (methods)</term><term>Imaging, Three-Dimensional (methods)</term><term>Information Storage and Retrieval (methods)</term><term>Models, Statistical</term><term>Models, Theoretical</term><term>Numerical Analysis, Computer-Assisted</term><term>Pattern Recognition, Automated (methods)</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>Signal Processing, Computer-Assisted</term><term>Touch</term><term>User-Computer Interface</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Image Enhancement</term><term>Image Interpretation, Computer-Assisted</term><term>Imaging, Three-Dimensional</term><term>Information Storage and Retrieval</term><term>Pattern Recognition, Automated</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Artificial Intelligence</term><term>Cluster Analysis</term><term>Computer Graphics</term><term>Computer Simulation</term><term>Computer-Aided Design</term><term>Models, Statistical</term><term>Models, Theoretical</term><term>Numerical Analysis, Computer-Assisted</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>Signal Processing, Computer-Assisted</term><term>Touch</term><term>User-Computer Interface</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper systematically presents a novel, interactive solid modeling framework, Haptics-based Dynamic Implicit Solid Modeling, which is founded upon volumetric implicit functions and powerful physics-based modeling. In particular, we augment our modeling framework with a haptic mechanism in order to take advantage of additional realism associated with a 3D haptic interface. Our dynamic implicit solids are semi-algebraic sets of volumetric implicit functions and are governed by the principles of dynamics, hence responding to sculpting forces in a natural and predictable manner. In order to directly manipulate existing volumetric data sets as well as point clouds, we develop a hierarchical fitting algorithm to reconstruct and represent discrete data sets using our continuous implicit functions, which permit users to further design and edit those existing 3D models in real-time using a large variety of haptic and geometric toolkits, and visualize their interactive deformation at arbitrary resolution. The additional geometric and physical constraints afford more sophisticated control of the dynamic implicit solids. The versatility of our dynamic implicit modeling enables the user to easily modify both the geometry and the topology of modeled objects, while the inherent physical properties can offer an intuitive haptic interface for direct manipulation with force feedback.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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