text-only page produced automatically by LIFT Text Transcoder Skip all navigation and go to page contentSkip top navigation and go to directorate navigationSkip top navigation and go to page navigation
National Science Foundation
Search  
Awards
design element
Search Awards
Recent Awards
Presidential and Honorary Awards
About Awards
Grant Policy Manual
Grant General Conditions
Cooperative Agreement Conditions
Special Conditions
Federal Demonstration Partnership
Policy Office Website


Award Abstract #0205671
ITR: Representations and Algorithms for Deformable Objects


NSF Org: CCF
Division of Computer and Communication Foundations
divider line
divider line
Initial Amendment Date: August 29, 2002
divider line
Latest Amendment Date: July 24, 2009
divider line
Award Number: 0205671
divider line
Award Instrument: Continuing grant
divider line
Program Manager: Almadena Y. Chtchelkanova
CCF Division of Computer and Communication Foundations
CSE Directorate for Computer & Information Science & Engineering
divider line
Start Date: September 1, 2002
divider line
Expires: February 28, 2010 (Estimated)
divider line
Awarded Amount to Date: $2809668
divider line
Investigator(s): Leonidas Guibas guibas@cs.stanford.edu (Principal Investigator)
Jean-Claude Latombe (Co-Principal Investigator)
Muthu Govindaraj (Co-Principal Investigator)
Dimitris Metaxas (Co-Principal Investigator)
Lydia Kavraki (Co-Principal Investigator)
divider line
Sponsor: Stanford University
340 Panama Street
STANFORD, CA 94305 650/723-2300
divider line
NSF Program(s): ITR MEDIUM (GROUP) GRANTS
divider line
Field Application(s): 0000099 Other Applications NEC
divider line
Program Reference Code(s): HPCC, 9216, 1652
divider line
Program Element Code(s): 1687

ABSTRACT

Deformable objects are ubiquitous in the physical world at all scales, from the molecular to the astrophysical. Many of life's basic functions, from protein folding and ligand binding at the micro level, to meiosis and mitosis at the cellular level, to the beating of a heart at the macro level, are best described as shape deformations in time. Flexible materials are finding increasing applications in engineering, across areas such as testing and manufacturing, and especially in biomedical applications, including prosthetic devices and minimally invasive imaging and surgical procedures. Special effects in the entertainment industry and haptics-based human-computer interfaces also require better models for flexible objects. Though deformation in nature can be based on a variety of underlying physical processes, we believe that there are a number of unifying principles common to understanding all deformations. Today, however, we lack a general computational theory of how to sense, represent, simulate, approximate, actuate, control, and render deformable objects.

Research Goals and Methods

The goal of this proposal is to undertake a foundational study of representations and algorithms for the computational modeling of deformable objects. Such modeling is challenging because deformations involve representations of shape and motion, and bring together continuous and discrete phenomena, as well as local and global constraints. Some of the specific challenges that have to be addressed are:

1. the behavior of deformable objects is defined by both geometry and physics and characterized by complex high-dimensional energy landscapes that need to be compactly encoded and efficiently interrogated for actuation, control, and planning;

2. physically accurate simulation of deformations is of-ten computationally expensive; we must find ways to approximate the full physics, while still guaranteeing the correctness, or at least appropriateness, of the solution that we compute in the parts of the system we care about;

3. discrete events, such as collisions and self-collisions, alter the continuous evolution law of the system; these events must be efficiently predicted or detected, and processed;

4. contact and self-contact must be modeled across rapid changes in the contact manifold, including its dimensionality (e.g., cloth draping over a rigid object);

5. deformations are often associated with changes in the shape topology (e.g., the surgeon's scalpel cutting the patient's skin tissue); such topology modifications must be smoothly accommodated in our models.

Towards this goal we have put together a team of PIs and consultants/advisors that combines expertise in scientific computing and physical simulation, geometric modeling and computation, motion planning and control, local and distributed sensing and actuation, model parameter estimation, as well as extensive experience in the computational modeling of specific deformable objects, from molecules to textiles, and in applications from medicine to entertainment


PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

(Showing: 1 - 10 of 57)
  Show All

A. Ladd and L.E. Kavraki. "Motion Planning in the Presence of Drift, Underactuation and Discrete System Changes," Robotics: Science and Systems I, 2005.

A. Madabhushi and D. N. Metaxas. "Combining Low, High-Level and Empirical Domain Specific Knowledge for Automated Segmentation of Ultrasonic Breast Lesions," IEEE Trans. on Medical Imaging, v.22, 2003, p. 155.

A. Montillo, D. Metaxas and L. Axel. "Automated deformable model-based segmentation of the left and right ventricles in tagged cardiac MRI.," Procs. MICCAI, v.0, 2003, p. 505.

A. Shehu, C. Clementi and L.E. Kavraki. "Modeling Conformational Ensembles: From Missing Loops to Equilibrium Flunctuations," Proteins: Struture, Function and Bioinformatics, v.65(1), 2006.

A.M. Ladd and L.E. Kavraki. "Measure Theoretic Analysis of Probabilistic Path Planning," IEEE Transactions on Robotics, v.20(2), 2004, p. 229.

Bart Adams, Mark Pauly, Richard Keiser, and Leonidas J. Guibas. "Adaptively Sampled Particle Fluids," ACM SIGGRAPH 2007 (ACM Transactions on Graphics), v.1, 2007.

Blemker, S., Teran, J., Sifakis, E., Fedkiw, R. and Delp, S.. "Fast 3D Muscle Simulations using a New Quasistatic Invertible Finite-Element Algorithm," 10th International Symposium on Computer Simulation in Biomechanics, 2005.

Bridson, R., Marino, S. and Fedkiw, R.. "Simulation of Clothing with Folds and Wrinkles," ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), 2003, p. 28.

Bridson, R., Teran, J., Molino, N. and Fedkiw, R.. "Adaptive Physics Based Tetrahedral Mesh Generation Using Level Sets," Engineering with Computers, v.21, 2005.

Carson J., Ju T., Thaller C., Bello M., Kakadiaris I., Chiu W., Eichele G., and Warren J.. "Automated Characterization of Gene Expression Patterns with an Atlas of the Mouse Brain," Proceedings of IEEE Engineering in Medicine and Biology Society, 2004, p. 2917.


(Showing: 1 - 10 of 57)
  Show All




 

Please report errors in award information by writing to: awardsearch@nsf.gov.

 

 

Print this page
Back to Top of page
  Web Policies and Important Links | Privacy | FOIA | Help | Contact NSF | Contact Web Master | SiteMap  
National Science Foundation
The National Science Foundation, 4201 Wilson Boulevard, Arlington, Virginia 22230, USA
Tel: (703) 292-5111, FIRS: (800) 877-8339 | TDD: (800) 281-8749
Last Updated:
April 2, 2007
Text Only


Last Updated:April 2, 2007