David E. Johnson
University of Utah
59 Papers
542 Citations
David E. Johnson is an academic researcher from University of Utah. The author has contributed to research in topics: Haptic technology & Computer science. The author has an hindex of 19, co-authored 58 publications. Previous affiliations of David E. Johnson include Utah State University.
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Papers
Haptic manipulation of virtual mechanisms from mechanical CAD designs
A. Nahvi,Donald D. Nelson,John M. Hollerbach,David E. Johnson +3 more
- 16 May 1998
TL;DR: A haptic display system is presented for manipulating virtual mechanisms derived from a mechanical CAD design and the operator experiences the dynamic forces from the mechanism plus constraint forces.
Six degree-of-freedom haptic rendering of complex polygonal models
David E. Johnson,Peter Willemsen +1 more
- 22 Mar 2003
TL;DR: This paper describes a haptic rendering algorithm for arbitrary polygonal models using a six degree-of-freedom haptic interface that supports activities such as virtual prototyping of complex polygonAL models and adding haptic interaction to virtual environments.
Spatialized normal come hierarchies
David E. Johnson,Elaine Cohen +1 more
- 01 Mar 2001
TL;DR: A data structure, the spatialized normal cone hierarchy, is developed and applied to interactive solutions for model silhouette extraction, local minimum distance computations, and area light source shadow umbra and penumbra boundary determination.
64
Haptic rendering of surface-to-surface sculpted model interaction
Donald D. Nelson,David E. Johnson,Elaine Cohen +2 more
- 31 Jul 2005
TL;DR: In this paper, the surface point and first and second surface partial derivatives for both surfaces are evaluated using a global minimum distance method, the local Newton formulation, and the new velocity formulation.
62
Haptic rendering of surface-to-surface sculpted model interaction
Donald D. Nelson,David E. Johnson,Elaine Cohen +2 more
- 01 Jan 1999
TL;DR: This work extends the tracing method for surface-to-surface interactions with an alternative novel velocity formulation for use in a surface-surface tracing paradigm that exhibits additional stability beyond the Newton methods.
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