GPU-enabled lego brick approximation of mesh models

Bautista (2007) developed an application that approximates a Lego model based on an input 3D mesh model. The Lego model which is made up of Lego bricks is essentially an approximation of the mesh model. The quality of the approximation depends on the resolution. A higher resolution results into a mo...

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Main Authors: Canilao, Ivan Ray T., Pamplona, Patrick Karlo N., Vallesteros, Daniel Martin H.
Format: text
Language:English
Published: Animo Repository 2011
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/11844
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-124892021-09-10T01:10:47Z GPU-enabled lego brick approximation of mesh models Canilao, Ivan Ray T. Pamplona, Patrick Karlo N. Vallesteros, Daniel Martin H. Bautista (2007) developed an application that approximates a Lego model based on an input 3D mesh model. The Lego model which is made up of Lego bricks is essentially an approximation of the mesh model. The quality of the approximation depends on the resolution. A higher resolution results into a more detailed Lego model. However, as the resolution increases, the executive time also increased. This research is concerned with GPU enabled Lego brick approximation of mesh models. The research proponents implemented the approximation algorithm using GPU + CPU. GPU programming using NVIDIAs CUDA allows faster execution than a CPU only resolution. The research proponents discovered that when the GPUs multi-processing power was not utilized enough, it was not always the case that GPU-CPU is faster than a CPU implementation. Though the larger part of the data collected shows that the GPU+CPU implementation achieves up to 4x speedup compared to the CPU only implementation if there were intensive processing to be done. 2011-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/11844 Bachelor's Theses English Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
description Bautista (2007) developed an application that approximates a Lego model based on an input 3D mesh model. The Lego model which is made up of Lego bricks is essentially an approximation of the mesh model. The quality of the approximation depends on the resolution. A higher resolution results into a more detailed Lego model. However, as the resolution increases, the executive time also increased. This research is concerned with GPU enabled Lego brick approximation of mesh models. The research proponents implemented the approximation algorithm using GPU + CPU. GPU programming using NVIDIAs CUDA allows faster execution than a CPU only resolution. The research proponents discovered that when the GPUs multi-processing power was not utilized enough, it was not always the case that GPU-CPU is faster than a CPU implementation. Though the larger part of the data collected shows that the GPU+CPU implementation achieves up to 4x speedup compared to the CPU only implementation if there were intensive processing to be done.
format text
author Canilao, Ivan Ray T.
Pamplona, Patrick Karlo N.
Vallesteros, Daniel Martin H.
spellingShingle Canilao, Ivan Ray T.
Pamplona, Patrick Karlo N.
Vallesteros, Daniel Martin H.
GPU-enabled lego brick approximation of mesh models
author_facet Canilao, Ivan Ray T.
Pamplona, Patrick Karlo N.
Vallesteros, Daniel Martin H.
author_sort Canilao, Ivan Ray T.
title GPU-enabled lego brick approximation of mesh models
title_short GPU-enabled lego brick approximation of mesh models
title_full GPU-enabled lego brick approximation of mesh models
title_fullStr GPU-enabled lego brick approximation of mesh models
title_full_unstemmed GPU-enabled lego brick approximation of mesh models
title_sort gpu-enabled lego brick approximation of mesh models
publisher Animo Repository
publishDate 2011
url https://animorepository.dlsu.edu.ph/etd_bachelors/11844
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