dc.contributor.author | Zia, Ali | |
dc.contributor.author | Liang, Jie | |
dc.contributor.author | Zhou, Jun | |
dc.contributor.author | Gao, Yongsheng | |
dc.contributor.editor | Sudeep Sarkar, Subhodev Das, Bahram Parvin, Fatih Porikli | |
dc.date.accessioned | 2017-05-03T16:11:36Z | |
dc.date.available | 2017-05-03T16:11:36Z | |
dc.date.issued | 2015 | |
dc.identifier.isbn | 9781479966820 | |
dc.identifier.issn | 2472-6737 | |
dc.identifier.doi | 10.1109/WACV.2015.49 | |
dc.identifier.uri | http://hdl.handle.net/10072/69688 | |
dc.description.abstract | 3D reconstruction from hyper spectral images has seldom been addressed in the literature. This is a challenging problem because 3D models reconstructed from different spectral bands demonstrate different properties. If we use a single band or covert the hyper spectral image to gray scale image for the reconstruction, fine structural information may be lost. In this paper, we present a novel method to reconstruct a 3D model from hyper spectral images. Our proposed method first generates 3D point sets from images at each wavelength using the typical structure from motion approach. A structural descriptor is developed to characterize the spatial relationship between the points, which allows robust point matching between two 3D models at different wavelength. Then a 3D registration method is introduced to combine all band-level models into a single and complete hyper spectral 3D model. As far as we know, this is the first attempt in reconstructing a complete 3D model from hyper spectral images. This work allows fine structural-spectral information of an object be captured and integrated into the 3D model, which can be used to support further research and applications. | |
dc.description.peerreviewed | Yes | |
dc.description.publicationstatus | Yes | |
dc.format.extent | 6145945 bytes | |
dc.format.mimetype | application/pdf | |
dc.language | English | |
dc.publisher | Institute of Electrical and Electronics Engineers | |
dc.publisher.place | United States | |
dc.publisher.uri | http://wacv2015.org/ | |
dc.relation.ispartofstudentpublication | Y | |
dc.relation.ispartofconferencename | IEEE Winter Conference on Applications of Computer Vision (WACV 2015) | |
dc.relation.ispartofconferencetitle | 2015 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV) | |
dc.relation.ispartofdatefrom | 2015-01-06 | |
dc.relation.ispartofdateto | 2015-01-09 | |
dc.relation.ispartoflocation | Waikoloa, HI | |
dc.relation.ispartofpagefrom | 318 | |
dc.relation.ispartofpagefrom | 8 pages | |
dc.relation.ispartofpageto | 325 | |
dc.relation.ispartofpageto | 8 pages | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Computer vision | |
dc.subject.fieldofresearchcode | 460304 | |
dc.title | 3D Reconstruction from Hyperspectral Images | |
dc.type | Conference output | |
dc.type.description | E1 - Conferences | |
dc.type.code | E - Conference Publications | |
gro.faculty | Griffith Sciences, School of Information and Communication Technology | |
gro.rights.copyright | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Gao, Yongsheng | |
gro.griffith.author | Zhou, Jun | |