Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Ivan F. Costa

dblp:65/1111 · DBLP profile ↗
← Back
3ranked-venue papers
2as first author
0since 2021 · last 2012
0000-0002-0191-2453ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computer animation and physical simulation · 44% Virtual and augmented reality · 44% Geometric modeling and processing · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality › haptics
haptic rendering
0.012001
LEM - An Approach for Real Time Physically Based Soft Tissue Simulation · ICRA 2001
Computer animation and physical simulation › deformable body simulation
soft tissue simulation
0.012001
LEM - An Approach for Real Time Physically Based Soft Tissue Simulation · ICRA 2001
Geometric modeling and processing › deformable models
deformable object modeling
0.012001
LEM - An Approach for Real Time Physically Based Soft Tissue Simulation · ICRA 2001

Methods — techniques the papers use, named apart from their topics

long elements method · 0.0finite element method · 0.0
YearPublicationVenuePosition
2012 A novel deformation method for fast simulation of biological tissue formed by fibers and fluid
Ivan F. Costa
Medical Image Anal.1
2001 LEM - An Approach for Real Time Physically Based Soft Tissue Simulation
abstract
This paper presents LEM (long elements method), a new method for physically based simulation of deformable objects, suitable for real time animation and virtual environment interaction. The approach implements a static solution for elastic global deformations of objects filled with fluid based on the Pascal's principle and volume conservation. The volumes are discretised in long elements, defining meshes one order of magnitude smaller than tetrahedral or cubic meshes. The physics of the objects are modeled using bulk variables: pressure, density, volume and stress. No pre-calculations or condensations are needed. The approach is particularly interesting for soft tissue real time simulation and for graphic and haptic rendering.
Ivan F. Costa, Remis Balaniuk
ICRA1
2001 An approach to LEM modeling: construction, collision detection and dynamic simulation
abstract
This paper presents an approach to apply the long element method (LEM), a new method for physically based simulation of deformable objects, to a general polygonal mesh. The LEM is suitable for real time simulation and virtual environment interaction. The approach implements a static solution for elastic global deformation of objects filled with fluids based on Pascal's Principle and the volume conservation. The volumes are discretised into long elements, defining meshes several order of magnitudes smaller than tetrahedral or cubic meshes. We show how these volumes are constructed when the method is applied to a general mesh. We also propose a method for collision detection when two such objects interact. Finally, we show how we can perform dynamic simulation when the physics of the objects are modeled using bulk variables: pressure, density, volume and stress. This approach is particularly interesting for real time simulation of soft tissue undergoing small deformations.
Kenneth Sundaraj, Christian Laugier, Ivan F. Costa
IROS3