NDLI: Stochastic and Deterministic Models for Haptic Pseudo-Textures

Content Provider	IEEE Xplore Digital Library
Author	Aysal, T.C. Barner, K.E.
Copyright Year	2006
Description	Author affiliation: Electrical and Computer Engineering Department, University of Delaware, e-mails: aysal@mail.eecis.udel.edu (Aysal, T.C.)
Abstract	The haptic environment, due to the limited bandwidth of haptic sense, must be enhanced to aid comprehension. The enhancement procedures focused on here include techniques for pseudo-texturing in virtual environments. Generated texture models are automatically tunable according to the characteristics or properties of data to which it is applied. The proposed methods include stochastic, correlated, and harmonic models as well as several popular halftoning algorithms such as Amplitude Modulation (AM), Bayer's, and Error Diffusion. Presented analysis determines the parameter change required to yield the minimal perceivable change in texture for each texture level and proposed texturing method. We also consider edge and boundary enhancement. Finally, user evaluations are presented comparing the presented methods in a haptic visualization application.
Starting Page	469
Ending Page	476
File Size	7982368
Page Count	8
File Format	PDF
ISBN	1424402263
DOI	10.1109/HAPTIC.2006.1627095
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-03-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic processes Haptic interfaces Data visualization Data mining Bandwidth Virtual environment Stochastic resonance Human computer interaction Medical simulation Computer graphics psychophysical experimenting pseudo-texturing stochastic and deterministic models harmonic signals halftoning Weber ratio
Content Type	Text
Resource Type	Article

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