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Effective visualization of sparse image-to-image correspondences
dc.contributor.author | Andújar Gran, Carlos Antonio |
dc.contributor.author | Chica Calaf, Antonio |
dc.contributor.author | Comino Trinidad, Marc |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Computació |
dc.date.accessioned | 2020-05-29T15:24:35Z |
dc.date.available | 2020-05-29T15:24:35Z |
dc.date.issued | 2020 |
dc.identifier.citation | Andújar, C.; Chica, A.; Comino, M. Effective visualization of sparse image-to-image correspondences. A: Eurographics Conference on Visualization. "EuroVis 2020, Eurographics / IEEE VGTC Conference on Visualization 2020: Norrköping, Sweden, May 25–29, 2020: short papers". European Association for Computer Graphics (Eurographics), 2020, p. 151-155. |
dc.identifier.isbn | 978-3-03868-106-9 |
dc.identifier.uri | http://hdl.handle.net/2117/189540 |
dc.description.abstract | Finding robust correspondences between images is a crucial step in photogrammetry applications. The traditional approach to visualize sparse matches between two images is to place them side-by-side and draw link segments connecting pixels with matching features. In this paper we present new visualization techniques for sparse correspondences between image pairs. Key ingredients of our techniques include (a) the clustering of consistent matches, (b) the optimization of the image layout to minimize occlusions due to the super-imposed links, (c) a color mapping to minimize color interference among links (d) a criterion for giving visibility priority to isolated links, (e) the bending of link segments to put apart nearby links, and (f) the use of glyphs to facilitate the identification of matching keypoints. We show that our technique substantially reduces the clutter in the final composite image and thus makes it easier to detect and inspect both inlier and outlier matches. Potential applications include the validation of image pairs in difficult setups and the visual comparison of feature detection / matching algorithms. |
dc.description.sponsorship | This work has been partially funded by the Spanish Ministry of Economy and Competitiveness and FEDER Grant TIN2017-88515-C2-1-R. |
dc.format.extent | 5 p. |
dc.language.iso | eng |
dc.publisher | European Association for Computer Graphics (Eurographics) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Infografia |
dc.subject.lcsh | Image analysis |
dc.subject.lcsh | Photogrammetry |
dc.subject.other | Reconstruction |
dc.subject.other | Image segmentation |
dc.title | Effective visualization of sparse image-to-image correspondences |
dc.type | Conference report |
dc.subject.lemac | Imatges -- Anàlisi |
dc.subject.lemac | Fotogrametria |
dc.contributor.group | Universitat Politècnica de Catalunya. ViRVIG - Grup de Recerca en Visualització, Realitat Virtual i Interacció Gràfica |
dc.identifier.doi | 10.2312/evs.20201064 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://diglib.eg.org/handle/10.2312/evs20201064 |
dc.rights.access | Open Access |
local.identifier.drac | 28521447 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-88515-C2-1-R/ES/VISUALIZACION, MODELADO, SIMULACION E INTERACCION CON MODELOS 3D. APLICACIONES EN CIENCIAS DE LA VIDA Y ENTORNOS RURALES Y URBANOS/ |
local.citation.author | Andújar, C.; Chica, A.; Comino, M. |
local.citation.contributor | Eurographics Conference on Visualization |
local.citation.publicationName | EuroVis 2020, Eurographics / IEEE VGTC Conference on Visualization 2020: Norrköping, Sweden, May 25–29, 2020: short papers |
local.citation.startingPage | 151 |
local.citation.endingPage | 155 |