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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sg-ntu-dr.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 |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Kosasih, Juan Antonio Bilateral mesh denoising |
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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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He Ying |
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He Ying Kosasih, Juan Antonio |
format |
Final Year Project |
author |
Kosasih, Juan Antonio |
author_sort |
Kosasih, Juan Antonio |
title |
Bilateral mesh denoising |
title_short |
Bilateral mesh denoising |
title_full |
Bilateral mesh denoising |
title_fullStr |
Bilateral mesh denoising |
title_full_unstemmed |
Bilateral mesh denoising |
title_sort |
bilateral mesh denoising |
publishDate |
2017 |
url |
http://hdl.handle.net/10356/72765 |
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1759854732754550784 |