Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3C99LKE |
Repository | sid.inpe.br/sibgrapi/2012/07.11.14.17 |
Last Update | 2012:07.11.14.17.12 ericksonrn@gmail.com |
Metadata | sid.inpe.br/sibgrapi/2012/07.11.14.17.12 |
Metadata Last Update | 2020:02.19.02.18.27 administrator |
Citation Key | NascimentoScOlViCaMe:2012:ApGeFu |
Title | Appearance and Geometry Fusion for Enhanced Dense 3D Alignment  |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2021, Jan. 28 |
Number of Files | 1 |
Size | 2732 KiB |
Context area | |
Author | 1 Nascimento, Erickson Rangel 2 Schwartz, William Robson 3 Oliveira, Gabriel Leivas 4 Vieira, Antônio Wilson 5 Campos, Mario Fernando Montenegro 6 Mesquita, Daniel Balbino |
Affiliation | 1 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 |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | ericksonrn@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto |
Date | Aug. 22-25, 2012 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2012-09-20 16:45:34 :: ericksonrn@gmail.com -> administrator :: 2012 2020-02-19 02:18:27 :: administrator -> :: 2012 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | Descriptor, RGB-D Camera, Reconstruction, Registration, Three-dimensional Mapping. |
Abstract | This 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. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3C99LKE |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3C99LKE |
Language | en |
Target File | ieee_pdf_express_verification_PID2444573.pdf |
User Group | ericksonrn@gmail.com |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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