HSD: A 3D shape descriptor based on the Hilbert curve and a reduction dimensionality approach
Similarity searching based on 3D shape descriptors is an important process in content-based 3D shape retrieval tasks. The development of efficient 3D shape descriptors is still a challenge. This paper proposes a novel approach to characterize 3D shapes that is based on a Hilbert curve for scanning t...
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| creator | de Oliveira, Walter A.A. Barcelos, Celia A.Z. Giraldi, Gilson Guliato, Denise |
| description | Similarity searching based on 3D shape descriptors is an important process in content-based 3D shape retrieval tasks. The development of efficient 3D shape descriptors is still a challenge. This paper proposes a novel approach to characterize 3D shapes that is based on a Hilbert curve for scanning the volume, dimensionality reduction by discrete wavelet transform and artificial neural networks. Our proposal, called Hilbert based 3D-shape Description, yields a high level descriptor that preserves the relevant characteristics of a 3D shape. Our proposal is invariant under translation transformation and it is robust under scale transformation. The experiments were carried out using the Princeton Shape Benchmark. The evaluation of the results indicated a higher precision rate, when compared to the competitive works. |
| doi_str_mv | 10.1109/ICSMC.2012.6377693 |
| format | Conference Proceeding |
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The evaluation of the results indicated a higher precision rate, when compared to the competitive works.</description><subject>3D Shape Descriptor</subject><subject>Artificial neural networks</subject><subject>Content-Based Image Retrieval</subject><subject>Discrete wavelet transforms</subject><subject>Feature Extraction</subject><subject>Hilbert Curve</subject><subject>Multi-layer neural network</subject><subject>Neural Network</subject><subject>Neurons</subject><subject>Shape</subject><subject>Similarity Searching</subject><subject>Wavelet Transform</subject><issn>1062-922X</issn><isbn>9781467317139</isbn><isbn>1467317136</isbn><isbn>1467317144</isbn><isbn>9781467317122</isbn><isbn>9781467317146</isbn><isbn>1467317128</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kN1KAzEUhCMq2Na-gN7kBXbNSbLJxruyVVuoeFEFb6Sc3ZzSSH-WZCv07V2wXs0MfAzDMHYHIgcQ7mFeLV-rXAqQuVHWGqcu2BC0sQosaH3Jxs6W_1m5KzYAYWTmpPy8YcOUvoWQQkM5YF-z5fSRT7ia8rTBlrin1MTQdofIa0zk-WHPuw3xWdjWFDveHOMPcdx7jjySPzZd6AkfdrRPvcNt6E4c2zYesNncsus1bhONzzpiH89P79UsW7y9zKvJIgtgiy4j10Ch-0XoCi8IpK1xDbVptBKEtiRT1LZH0ECxdsp456QrNVjrpKlNqUbs_q83ENGqjWGH8bQ6X6N-AQynVME</recordid><startdate>201210</startdate><enddate>201210</enddate><creator>de Oliveira, Walter A.A.</creator><creator>Barcelos, Celia A.Z.</creator><creator>Giraldi, Gilson</creator><creator>Guliato, Denise</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201210</creationdate><title>HSD: A 3D shape descriptor based on the Hilbert curve and a reduction dimensionality approach</title><author>de Oliveira, Walter A.A. ; Barcelos, Celia A.Z. ; Giraldi, Gilson ; Guliato, Denise</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-e9c154204a95d0e127baf1b6c430ea78e65b7c15a615f936d992984177926b683</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>3D Shape Descriptor</topic><topic>Artificial neural networks</topic><topic>Content-Based Image Retrieval</topic><topic>Discrete wavelet transforms</topic><topic>Feature Extraction</topic><topic>Hilbert Curve</topic><topic>Multi-layer neural network</topic><topic>Neural Network</topic><topic>Neurons</topic><topic>Shape</topic><topic>Similarity Searching</topic><topic>Wavelet Transform</topic><toplevel>online_resources</toplevel><creatorcontrib>de Oliveira, Walter A.A.</creatorcontrib><creatorcontrib>Barcelos, Celia A.Z.</creatorcontrib><creatorcontrib>Giraldi, Gilson</creatorcontrib><creatorcontrib>Guliato, Denise</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>de Oliveira, Walter A.A.</au><au>Barcelos, Celia A.Z.</au><au>Giraldi, Gilson</au><au>Guliato, Denise</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>HSD: A 3D shape descriptor based on the Hilbert curve and a reduction dimensionality approach</atitle><btitle>2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)</btitle><stitle>ICSMC</stitle><date>2012-10</date><risdate>2012</risdate><spage>156</spage><epage>161</epage><pages>156-161</pages><issn>1062-922X</issn><isbn>9781467317139</isbn><isbn>1467317136</isbn><eisbn>1467317144</eisbn><eisbn>9781467317122</eisbn><eisbn>9781467317146</eisbn><eisbn>1467317128</eisbn><abstract>Similarity searching based on 3D shape descriptors is an important process in content-based 3D shape retrieval tasks. The development of efficient 3D shape descriptors is still a challenge. This paper proposes a novel approach to characterize 3D shapes that is based on a Hilbert curve for scanning the volume, dimensionality reduction by discrete wavelet transform and artificial neural networks. Our proposal, called Hilbert based 3D-shape Description, yields a high level descriptor that preserves the relevant characteristics of a 3D shape. Our proposal is invariant under translation transformation and it is robust under scale transformation. The experiments were carried out using the Princeton Shape Benchmark. The evaluation of the results indicated a higher precision rate, when compared to the competitive works.</abstract><pub>IEEE</pub><doi>10.1109/ICSMC.2012.6377693</doi><tpages>6</tpages></addata></record> |
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| ispartof | 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012, p.156-161 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | 3D Shape Descriptor Artificial neural networks Content-Based Image Retrieval Discrete wavelet transforms Feature Extraction Hilbert Curve Multi-layer neural network Neural Network Neurons Shape Similarity Searching Wavelet Transform |
| title | HSD: A 3D shape descriptor based on the Hilbert curve and a reduction dimensionality approach |
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