Show simple item record

dc.creatorBarandiaran, Iñigo
dc.creatorCortes, Camilo
dc.creatorNieto, Marcos
dc.creatorGraña, Manuel
dc.creatorRuíz, Óscar E.
dc.date.available2016-11-18T22:40:28Z
dc.date.issued2013-02
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.descriptionKey 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 communityspa
dc.formatapplication/pdfeng
dc.language.isoengspa
dc.relation.ispartofProceedings International Conference on Computer Graphics Theory and Applications GRAPP , Feb. 2013spa
dc.rightsinfo:eu-repo/semantics/closedAccesseng
dc.subjectRestricciones geométricasspa
dc.subjectC++ (Lenguaje de programación de computadores)spa
dc.titleA new evaluation framework and image dataset for keypoint extraction and feature descriptor matchingspa
dc.typeconferenceObjecteng
dc.typeinfo:eu-repo/semantics/conferenceObjecteng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.rights.accessRightsclosedAccessspa
dc.subject.lembTOMOGRAFÍAspa
dc.subject.lembVISIÓN POR COMPUTADORspa
dc.subject.lembGRÁFICOS POR COMPUTADORspa
dc.subject.lembRECONOCIMIENTO ÓPTICO DE MODELOSspa
dc.subject.lembFOTOMETRÍAspa
dc.type.spaDocumento de conferenciaspa
dc.subject.keywordTomographyspa
dc.subject.keywordComputer visionspa
dc.subject.keywordComputer graphicsspa
dc.subject.keywordPhotometryspa
dc.rights.accesoAcceso cerradospa
dc.date.accessioned2016-11-18T22:40:28Z
dc.type.hasVersionpublishedVersionspa
dc.tipo.versionObra publicadaspa


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record