Scott A. King
Texas A&M University–Corpus Christi
36 Papers
225 Citations
Scott A. King is an academic researcher from Texas A&M University–Corpus Christi. The author has contributed to research in topics: Computer facial animation & Computer science. The author has an hindex of 11, co-authored 34 publications. Previous affiliations of Scott A. King include National University of Singapore & Texas A&M University.
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Papers
Swirling-sweepers: constant-volume modeling
A. Angelidi,M.P. Canif,Geoff Wyvill,Scott A. King +3 more
- 06 Oct 2004
TL;DR: This paper argues that all of these properties are necessary for interactive modeling if the user is to have the impression that he or she is shaping a real material.
Autonomous Surface Vehicle energy-efficient and reward-based path planning using Particle Swarm Optimization and Visibility Graphs
TL;DR: In this article , a particle swarm optimization (PSO) algorithm is used to optimize routes that balance path efficiency and reward in a complex assignment of reward values across the search space.
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Investigation of epifauna coverage on seagrass blades using spatial and spectral analysis of hyperspectral images
Ming Yang Teng,Ruby Mehrubeoglu,Scott A. King,Kirk Cammarata,James Simons +4 more
- 01 Jun 2013
TL;DR: The hyperspectral images obtained from seagrass samples are investigated to quantify percent epifauna coverage and it is shown that independent spectral and spatial analysis results produce comparable results.
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A facial model and animation techniques for animated speech
Rick Parent,Scott A. King +1 more
- 01 Jan 2001
TL;DR: A coarticulation model is developed that defines visemes as curves instead of a single position and treats a viseme as a dynamic shaping of the vocal tract and not as a static shape.
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Simulating tree growth based on internal and environmental factors
Zhuming Lam,Scott A. King +1 more
- 29 Nov 2005
TL;DR: A method using L-systems that models tree growth based on the interaction of the tree's internal attributes with themselves and with environmental conditions to show how the individual factors affect tree growth, and also how they interact with each other.
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