A new evaluation framework and image dataset for keypoint extraction and feature descriptor matching

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dc.contributor.authorBarandiaran, Iñigo
dc.contributor.authorCortes, Camilo
dc.contributor.authorNieto, Marcos
dc.contributor.authorGraña, Manuel
dc.contributor.authorRuíz, Óscar E.
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería Mecánicaspa
dc.contributor.researchgroupLaboratorio CAD/CAM/CAEspa
dc.date.accessioned2016-11-18T22:40:28Z
dc.date.available2016-11-18T22:40:28Z
dc.date.issued2013-02
dc.description.abstractKey point extraction and description mechanisms play a crucial role in image matching, where several image points must be accurately identified to robustly estimate a transformation or to recognize an object or a scene -- New procedures for keypoint extraction and for feature description are continuously emerging -- In order to assess them accurately, normalized data and evaluation protocols are required -- In response to these needs, we present a (1) new evaluation framework that allow assessing the performance of the state-of-the-art feature point extraction and description mechanisms, (2) a new image dataset acquired under controlled affine and photometric transformations and (3) a testing image generator -- Our evaluation framework allows generating detailed curves about the performance of different approaches, providing a valuable insight about their behavior -- Also, it can be easily integrated in many research and development environments -- The contributions mentioned above are available on-line for the use of the scientific communityeng
dc.formatapplication/pdfeng
dc.identifier.citation@inproceedings{ibarandiaran2013evaluation, author ={Inigo Barandiaran and Camilo Cortes and Marcos Nieto and Manuel Grana and Oscar E. Ruiz}, title ={A New Evaluation Framework and Image Dataset for Key Point Extraction and Feature Descriptor Matching}, booktitle ={ {VISAPP} 2013 - Proceedings of the International Conference on ComputerVision Theory and Applications, Volume 1, Barcelona, Spain, 21-24 February, 2013 }, year ={2013}, editor ={Sebastiano Battiato and Jose Braz}, address ={Barcelona, Spain}, keys ={Keypoint Extraction, Feature Descriptor, Keypoint Matching, Homography Estimation}, organization ={INSTICC}, pages ={252--257}, volume={1}, publisher ={SCITEPRESS}, abstract ={Key point extraction and description mechanisms play a crucial role in image matching, where several image points must be accurately identi�ed to robustly estimate a transformation or to recognize an object or a scene. New procedures for keypoint extraction and for feature description are continuously emerging. In order to assess them accurately, normalized data and evaluation protocols are required. In response to these needs, we present a (1) new evaluation framework that allow assessing the performance of the state-of-the-art feature point extraction and description mechanisms, (2) a new image dataset acquired under controlled af�ne and photometric transformations and (3) a testing image generator. Our evaluation framework allows generating detailed curves about the performance of different approaches, providing a valuable insight about their be- havior. Also, it can be easily integrated in many research and development environments. The contributions mentioned above are available on-line for the use of the scienti�c community}, isbn ={978-989-8565-47-1}, crossref = {DBLP:conf/visapp/2013-1}, timestamp = {Thu, 23 Oct 2014 22:01:45 +0200}, biburl = {http://dblp.uni-trier.de/rec/bib/conf/visapp/BarandiaranCNGR13}, bibsource = {dblp computer science bibliography, http://dblp.org} }spa
dc.identifier.urihttp://hdl.handle.net/10784/9707
dc.language.isoengspa
dc.relation.ispartofProceedings International Conference on Computer Graphics Theory and Applications GRAPP , Feb. 2013spa
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccesseng
dc.rights.localAcceso cerradospa
dc.subject.keywordTomographyeng
dc.subject.keywordComputer visioneng
dc.subject.keywordComputer graphicseng
dc.subject.keywordPhotometryeng
dc.subject.keywordRestricciones geométricasspa
dc.subject.keywordC++ (Lenguaje de programación de computadores)spa
dc.subject.lembTOMOGRAFÍAspa
dc.subject.lembVISIÓN POR COMPUTADORspa
dc.subject.lembGRÁFICOS POR COMPUTADORspa
dc.subject.lembRECONOCIMIENTO ÓPTICO DE MODELOSspa
dc.subject.lembFOTOMETRÍAspa
dc.titleA new evaluation framework and image dataset for keypoint extraction and feature descriptor matchingeng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

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