J
Joel Brown
Researcher at Stanford University
Publications - 7
Citations - 528
Joel Brown is an academic researcher from Stanford University. The author has contributed to research in topics: Collision detection & Unix. The author has an hindex of 7, co-authored 7 publications receiving 515 citations.
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Journal ArticleDOI
Real-time knot-tying simulation
TL;DR: A graphical simulator that allows a user to grasp and smoothly manipulate a virtual rope and to tie arbitrary knots, including knots around other objects, in real time, in a real-time simulation of rope, motivated by surgical suturing.
Proceedings ArticleDOI
Real-time simulation of deformable objects: tools and application
Joel Brown,Stephen Sorkin,C. Bruyns,Jean-Claude Latombe,Kevin Montgomery,Michael Stephanides +5 more
TL;DR: To achieve real-time performance, the proposed algorithms take advantage of the fact that most deformations are local, human-body tissues are well damped, and motions of surgical instruments are relatively slow.
Journal ArticleDOI
Spring: a general framework for collaborative, real-time surgical simulation.
Kevin Montgomery,Cynthia Bruyns,Joel Brown,Stephen Sorkin,Frederic Mazzella,Guillaume Thonier,Arnaud Tellier,Benjamin Lerman,Anil Menon +8 more
TL;DR: A real-time surgical simulation system with soft-tissue modeling and multi-user, multi-instrument, networked haptics, which allows for the relatively easy introduction of patient-specific anatomy and supports many common file formats.
Journal ArticleDOI
Algorithmic tools for real-time microsurgery simulation.
TL;DR: A simulation system based on novel algorithms for animating instruments interacting with deformable tissue in real-time based on computing the deformation of a tissue subject to external forces, and detecting collisions among deformable and rigid objects is presented.
Book ChapterDOI
A Microsurgery Simulation System
TL;DR: A virtual environment for the graphical visualization of complexsu rgical objects and real-time interaction with these objects using real surgical tools is developed and an application for microsurgical training, in which the user sutures together virtual blood vessels, has been developed.