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A multi-scale approach for estimating gradient from volumetric data.

Gradient is mostly used to approximate a quantity called normal vector, which is widely used in techniques such as raycasting or shading to calculate the shade of a pixel. Central Different Equation (CDE), Forward Difference Equation (FDE) and Backward Difference Equation (BDE) [1] are examples of c...

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Bibliographic Details
Main Author: Belaton, Bahari
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2015
Subjects:
QA75.5-76.95 Electronic computers. Computer science
Online Access:http://eprints.usm.my/31417/1/222e%20A%20multi-scale%20approach%20for%20estimating%20gradient%20from%20volumetric%20data..pdf
http://eprints.usm.my/31417/
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id my.usm.eprints.31417
record_format eprints
spelling my.usm.eprints.31417 http://eprints.usm.my/31417/ A multi-scale approach for estimating gradient from volumetric data. Belaton, Bahari QA75.5-76.95 Electronic computers. Computer science Gradient is mostly used to approximate a quantity called normal vector, which is widely used in techniques such as raycasting or shading to calculate the shade of a pixel. Central Different Equation (CDE), Forward Difference Equation (FDE) and Backward Difference Equation (BDE) [1] are examples of common finite-difference gradient filters to estimate gradient from discrete data. Universiti Sains Malaysia 2015 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/31417/1/222e%20A%20multi-scale%20approach%20for%20estimating%20gradient%20from%20volumetric%20data..pdf Belaton, Bahari (2015) A multi-scale approach for estimating gradient from volumetric data. Project Report. Universiti Sains Malaysia. (Submitted)
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic QA75.5-76.95 Electronic computers. Computer science
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Belaton, Bahari
A multi-scale approach for estimating gradient from volumetric data.
description Gradient is mostly used to approximate a quantity called normal vector, which is widely used in techniques such as raycasting or shading to calculate the shade of a pixel. Central Different Equation (CDE), Forward Difference Equation (FDE) and Backward Difference Equation (BDE) [1] are examples of common finite-difference gradient filters to estimate gradient from discrete data.
format Monograph
author Belaton, Bahari
author_facet Belaton, Bahari
author_sort Belaton, Bahari
title A multi-scale approach for estimating gradient from volumetric data.
title_short A multi-scale approach for estimating gradient from volumetric data.
title_full A multi-scale approach for estimating gradient from volumetric data.
title_fullStr A multi-scale approach for estimating gradient from volumetric data.
title_full_unstemmed A multi-scale approach for estimating gradient from volumetric data.
title_sort multi-scale approach for estimating gradient from volumetric data.
publisher Universiti Sains Malaysia
publishDate 2015
url http://eprints.usm.my/31417/1/222e%20A%20multi-scale%20approach%20for%20estimating%20gradient%20from%20volumetric%20data..pdf
http://eprints.usm.my/31417/
_version_ 1753789222846726144
score 13.214268

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