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Reference TypeConference Proceedings
Identifier8JMKD3MGPBW34M/3A3P47L
Repositorysid.inpe.br/sibgrapi/2011/07.11.14.09
Metadatasid.inpe.br/sibgrapi/2011/07.11.14.09.21
Sitesibgrapi.sid.inpe.br
Citation KeyMacędoFarLimKelAlb:2011:CaSt3D
Author1 Macędo, Samuel Victor Medeiros de
2 Farias, Thiago Souto Maior Cordeiro de
3 Lima, Juliane Cristina Botelho de Oliveira
4 Kelner, Judith
5 Albuquerque, Eduardo
Affiliation1 UFPE
2 UFPE
3 UFPE
4 UFPE
5 UFG
TitleTowards a Standalone Methodology for Robust Algorithms Evaluation: A Case Study in 3D Reconstruction
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
Year2011
EditorLewiner, Thomas
Torres, Ricardo
Book TitleProceedings
DateAug. 28 - 31, 2011
Publisher CityLos Alamitos
PublisherIEEE Computer Society Conference Publishing Services
Conference LocationMaceió
Keywordsrobust algorithms, standalone methodology, statistical tests, hypothesis testing.
AbstractIn the field of 3D reconstruction there are two main challenging tasks that require careful consideration, namely, feature detection and matching. The corresponding automatic process introduces noise resulting from the image capture and spurious features matching. A number of robust algorithms for hypothesis evaluation have been suggested; they would deal with these limitations by removing outliers. Most of these works are merely comparisons to previous algorithms and lack any standalone evaluation. This paper attempts to fill this gap by introducing a novel and robust statistical methodology. It has the advantage of evaluating related algorithms using non-dimensional metrics for fixed and continuous intervals. In addition, the proposed methodology is validated using a proof of concept scenario based on the 3D pose estimation phase in the 3D reconstruction pipeline. The obtained results are very promising and emphasize the methodology's generic nature, clearing the way for its application in a multitude of scenarios, such as computer vision and 3D reconstruction.
Languageen
Tertiary TypeFull Paper
FormatDVD, On-line.
Size344 KiB
Number of Files1
Target Fileexample.pdf
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History2011-07-23 15:36:13 :: samuel@gprt.ufpe.br -> :: 2011
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