R
Ross T. Whitaker
Researcher at University of Utah
Publications - 289
Citations - 13419
Ross T. Whitaker is an academic researcher from University of Utah. The author has contributed to research in topics: Image segmentation & Segmentation. The author has an hindex of 60, co-authored 276 publications receiving 12584 citations. Previous affiliations of Ross T. Whitaker include University of Tennessee & University of North Carolina at Chapel Hill.
Papers
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Proceedings ArticleDOI
Engineering and algorithm design for an image processing Api: a technical report on ITK--the Insight Toolkit.
Terry S. Yoo,Michael J Ackerman,William E. Lorensen,William J. Schroeder,Vikram Chalana,Stephen R. Aylward,Dimitris N. Metaxas,Ross T. Whitaker +7 more
TL;DR: The detailed planning and execution of the Insight Toolkit (ITK), an application programmers interface (API) for the segmentation and registration of medical image data, is presented.
Journal ArticleDOI
Partitioning 3D surface meshes using watershed segmentation
A.P. Mangan,Ross T. Whitaker +1 more
TL;DR: This algorithm has applications for a variety of important problems in visualization and geometrical modeling including 3D feature extraction, mesh reduction, texture mapping 3D surfaces, and computer aided design.
Journal ArticleDOI
A Level-Set Approach to 3D Reconstruction from Range Data
TL;DR: This paper presents a method that uses the level sets of volumes to reconstruct the shapes of 3D objects from range data and presents an analytical characterization of the surface that maximizes the posterior probability, and presents a novel computational technique for level-set modeling, called the sparse-field algorithm.
Proceedings ArticleDOI
Curvature-based transfer functions for direct volume rendering: methods and applications
TL;DR: The proposed methodology combines an implicit formulation of curvature with convolution-based reconstruction of the field, and gives concrete guidelines for implementing the methodology, and illustrates the importance of choosing accurate filters for computing derivatives with Convolution.
Journal ArticleDOI
Particle-Based Simulation of Fluids
TL;DR: A particle interaction method for simulating fluids using moving particles and their interactions that fits well into the current user interaction paradigm and allows easy user control over the desired fluid motion.