Publication: Multi-view image registration for wide-baseline visual sensor networks
dc.contributor.coauthor | Caner, Gülçin | |
dc.contributor.coauthor | Sharma, Gaurav | |
dc.contributor.coauthor | Heinzelman, Wendi | |
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.kuauthor | Tekalp, Ahmet Murat | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.date.accessioned | 2024-11-09T23:44:05Z | |
dc.date.issued | 2006 | |
dc.description.abstract | We present a new dense multi-view registration technique for wide-baseline video/images that integrates a parametric optical flow-based approach with a sparse set of feature correspondences, based on a locally planar approximation of a nonplanar scene. The proposed method can deal with illuminance variations between the views, which is critically important for wide-baseline applications. It differs from existing work on wide-baseline image registration in that it requires only image information and provides dense matching without computing any camera calibration matrices or performing any prior scene segmentation. These characteristics render the method suitable for practical deployment in visual sensor networks, towards which the current work is directed. We demonstrate the performance of the proposed method on simulated multi-view images of a virtual 3D world composed of piece-wise smooth textured surfaces, as well as real wide-baseline images of nonplanar textured surfaces. | |
dc.description.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | National Science Foundation [ECS-0428157] This work is partly supported by the National Science Foundation under grant number ECS-0428157. | |
dc.identifier.doi | 10.1109/ICIP.2006.313170 | |
dc.identifier.eissn | N/A | |
dc.identifier.isbn | 978-1-4244-0481-0 | |
dc.identifier.issn | 1522-4880 | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-78649807641 | |
dc.identifier.uri | https://doi.org/10.1109/ICIP.2006.313170 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/13595 | |
dc.identifier.wos | 245768500093 | |
dc.keywords | Local image registration | |
dc.keywords | Wide-baseline | |
dc.keywords | Wiener-based | |
dc.keywords | Affine model estimation | |
dc.language.iso | eng | |
dc.publisher | IEEE | |
dc.relation.ispartof | 2006 IEEE International Conference on Image Processing, Icip 2006, Proceedings | |
dc.subject | Computer Science | |
dc.subject | Artificial intelligence | |
dc.subject | Information technology | |
dc.subject | Software engineering | |
dc.subject | Imaging systems in medicine | |
dc.subject | Diagnostic imaging | |
dc.title | Multi-view image registration for wide-baseline visual sensor networks | |
dc.type | Conference Proceeding | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Tekalp, Ahmet Murat | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit2 | Department of Electrical and Electronics Engineering | |
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