Bilateral mesh denoising

In this project, bilateral filter adapted for mesh denoising has been implemented and specific metrics has been calculated during its runtime to analyse its complexity and accuracy. The implementation of bilateral filter for mesh denoising was achieved by filtering vertexes of a 3D model specifie...

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Bibliographic Details
Main Author: Kosasih, Juan Antonio
Other Authors: He Ying
Format: Final Year Project (FYP)
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/72765
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author Kosasih, Juan Antonio
author2 He Ying
author_facet He Ying
Kosasih, Juan Antonio
author_sort Kosasih, Juan Antonio
collection NTU
description In this project, bilateral filter adapted for mesh denoising has been implemented and specific metrics has been calculated during its runtime to analyse its complexity and accuracy. The implementation of bilateral filter for mesh denoising was achieved by filtering vertexes of a 3D model specified in M file by moving it in its normal direction according to neighbourhood vertexes. The algorithm ran in linear time with difference in mesh size, and in exponential time according to neighbourhood search ring size. Results suggested larger ring size does not increase accuracy nor performance of the algorithm. Smaller ring sizes were found to be more effective and faster for the execution of the algorithm.
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spelling ntu-10356/727652023-03-03T20:23:34Z Bilateral mesh denoising Kosasih, Juan Antonio He Ying School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics In this project, bilateral filter adapted for mesh denoising has been implemented and specific metrics has been calculated during its runtime to analyse its complexity and accuracy. The implementation of bilateral filter for mesh denoising was achieved by filtering vertexes of a 3D model specified in M file by moving it in its normal direction according to neighbourhood vertexes. The algorithm ran in linear time with difference in mesh size, and in exponential time according to neighbourhood search ring size. Results suggested larger ring size does not increase accuracy nor performance of the algorithm. Smaller ring sizes were found to be more effective and faster for the execution of the algorithm. Bachelor of Engineering (Computer Science) 2017-11-11T03:34:48Z 2017-11-11T03:34:48Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72765 en Nanyang Technological University 44 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics
Kosasih, Juan Antonio
Bilateral mesh denoising
title Bilateral mesh denoising
title_full Bilateral mesh denoising
title_fullStr Bilateral mesh denoising
title_full_unstemmed Bilateral mesh denoising
title_short Bilateral mesh denoising
title_sort bilateral mesh denoising
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics
url http://hdl.handle.net/10356/72765
work_keys_str_mv AT kosasihjuanantonio bilateralmeshdenoising