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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3C99LKE
Repositorysid.inpe.br/sibgrapi/2012/07.11.14.17
Last Update2012:07.11.14.17.12 ericksonrn@gmail.com
Metadatasid.inpe.br/sibgrapi/2012/07.11.14.17.12
Metadata Last Update2020:02.19.02.18.27 administrator
Citation KeyNascimentoScOlViCaMe:2012:ApGeFu
TitleAppearance and Geometry Fusion for Enhanced Dense 3D Alignment
FormatDVD, On-line.
Year2012
Access Date2021, Jan. 28
Number of Files1
Size2732 KiB
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Author1 Nascimento, Erickson Rangel
2 Schwartz, William Robson
3 Oliveira, Gabriel Leivas
4 Vieira, Antônio Wilson
5 Campos, Mario Fernando Montenegro
6 Mesquita, Daniel Balbino
Affiliation1 Universidade Federal de Minas Gerais
2 Universidade Federal de Minas Gerais
3 University of Minnesota
4 Unimontes
5 Universidade Federal de Minas Gerais
6 Universidade Federal de Minas Gerais
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
e-Mail Addressericksonrn@gmail.com
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto
DateAug. 22-25, 2012
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2012-09-20 16:45:34 :: ericksonrn@gmail.com -> administrator :: 2012
2020-02-19 02:18:27 :: administrator -> :: 2012
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsDescriptor, RGB-D Camera, Reconstruction, Registration, Three-dimensional Mapping.
AbstractThis work proposes a novel RGB-D feature descriptor called Binary Appearance and Shape Elements (BASE) that efficiently combines intensity and shape information to improve the discriminative power and enable an enhanced and faster matching process. The new descriptor is used to align a set of RGB point clouds to generate dense three dimensional models of indoor environments. We compare the performance of state-of-the-art feature descriptors with the proposed descriptor for scene alignment through the registration of multiple indoor textured depth maps. Experimental results show that the proposed descriptor outperforms the other approaches in computational cost, memory consumption and match quality. Additionally, experiments based on cloud alignment show that the BASE descriptor is suitable to be used in the registration of RBG-D data even when the environment is partially illuminated.
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data URLhttp://urlib.net/rep/8JMKD3MGPBW34M/3C99LKE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3C99LKE
Languageen
Target Fileieee_pdf_express_verification_PID2444573.pdf
User Groupericksonrn@gmail.com
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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