SymPaD: Symbolic patch descriptor
| dc.contributor.author | Aslan S. | |
| dc.contributor.author | Akgül C.B. | |
| dc.contributor.author | Sankur B. | |
| dc.contributor.author | Tunalı, Turhan | |
| dc.date.accessioned | 2023-06-16T15:04:29Z | |
| dc.date.available | 2023-06-16T15:04:29Z | |
| dc.date.issued | 2015 | |
| dc.description | Institute for Systems and Technologies of Information, Control and Communication (INSTICC) | en_US |
| dc.description | 10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 -- 11 March 2015 through 14 March 2015 -- 112690 | en_US |
| dc.description.abstract | We propose a new local image descriptor named SymPaD for image understanding. SymPaD is a probability vector associated with a given image pixel and represents the attachment of the pixel to a previously designed shape repertoire. As such the approach is model-driven. The SymPad descriptor is illumination and rotation invariant, and extremely flexible on extending the repertoire with any parametrically generated geometrical shapes and any desired additional transformation types. Copyright © 2015 SCITEPRESS - Science and Technology Publications All rights reserved. | en_US |
| dc.identifier.doi | 10.5220/0005361802660271 | |
| dc.identifier.isbn | 9.79E+12 | |
| dc.identifier.scopus | 2-s2.0-84939554100 | |
| dc.identifier.uri | https://doi.org/10.5220/0005361802660271 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/3823 | |
| dc.language.iso | en | en_US |
| dc.publisher | SciTePress | en_US |
| dc.relation.ispartof | VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Image feature | en_US |
| dc.subject | Image understanding | en_US |
| dc.subject | Model-driven visual dictionary | en_US |
| dc.subject | Object recognition | en_US |
| dc.subject | Primitive structures of natural images | en_US |
| dc.subject | Image understanding | en_US |
| dc.subject | Mathematical transformations | en_US |
| dc.subject | Object recognition | en_US |
| dc.subject | Geometrical shapes | en_US |
| dc.subject | Image features | en_US |
| dc.subject | Local image descriptors | en_US |
| dc.subject | Natural images | en_US |
| dc.subject | Probability vector | en_US |
| dc.subject | Rotation invariant | en_US |
| dc.subject | Transformation types | en_US |
| dc.subject | Visual dictionaries | en_US |
| dc.subject | Pixels | en_US |
| dc.title | SymPaD: Symbolic patch descriptor | en_US |
| dc.type | Conference Object | en_US |
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| gdc.description.departmenttemp | Aslan, S., International Computer Institute, Ege University, Bornova, Izmir, Turkey; Akgül, C.B., Electrical and Electronics Engineering Department, Bogaziçi University, Bebek, Istanbul, Turkey; Sankur, B., Electrical and Electronics Engineering Department, Bogaziçi University, Bebek, Istanbul, Turkey; Tunali, E.T., Department of Computer Engineering, Izmir University of Economics, Balçova, Izmir, Turkey | en_US |
| gdc.description.endpage | 271 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 266 | en_US |
| gdc.description.volume | 1 | en_US |
| gdc.description.wosquality | N/A | |
| gdc.identifier.openalex | W2397168779 | |
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| gdc.oaire.keywords | Image understanding | |
| gdc.oaire.keywords | Image feature | |
| gdc.oaire.keywords | Model-driven visual dictionary | |
| gdc.oaire.keywords | Object recognition | |
| gdc.oaire.keywords | Primitive structures of natural images | |
| gdc.oaire.keywords | Image feature; Image understanding; Model-driven visual dictionary; Object recognition; Primitive structures of natural images | |
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| gdc.oaire.sciencefields | 03 medical and health sciences | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
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| gdc.virtual.author | Tunalı, Turhan | |
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