431276af9eaed8b5659dea57d1a716bc sensors_a2014m2v14n2p3690.pdf 8778469463aa13101bb65fc649f1e123d7d6f3e8 sensors_a2014m2v14n2p3690.pdf 93f8e7a8a2025b1b271ce96415aa821dc2566abad7942f759c3417d4487fc6fd sensors_a2014m2v14n2p3690.pdf Title: Feature Point Descriptors: Infrared and Visible Spectra Subject: This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given. Keywords: cross-spectral imaging; feature point descriptors Author: Pablo Ricaurte 1, Carmen Chilán 1, Cristhian A. Aguilera-Carrasco 2,3, Boris X. Vintimilla 1, Angel D. Sappa 1,3,* Creator: Microsoft® Office Word 2007 Producer: Microsoft® Office Word 2007 CreationDate: Fri Feb 21 16:36:23 2014 ModDate: Fri Feb 21 16:37:24 2014 Tagged: yes UserProperties: no Suspects: no Form: none JavaScript: no Pages: 12 Encrypted: no Page size: 595.62 x 841.68 pts Page rot: 0 File size: 680681 bytes Optimized: no PDF version: 1.5 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- Times New Roman,Italic TrueType WinAnsi no no no 5 0 Times New Roman TrueType WinAnsi no no no 7 0 Times New Roman,Bold TrueType WinAnsi no no no 9 0 Times New Roman,BoldItalic TrueType WinAnsi no no no 11 0 Symbol CID TrueType Identity-H yes no yes 13 0 Times New Roman CID TrueType Identity-H yes no yes 20 0 Arial TrueType WinAnsi no no no 33 0 ABCDEE+Cambria Math CID TrueType Identity-H yes yes yes 43 0 Jhove (Rel. 1.6, 2011-01-04) Date: 2016-12-10 02:24:21 CET RepresentationInformation: sensors_a2014m2v14n2p3690.pdf ReportingModule: PDF-hul, Rel. 1.8 (2009-05-22) LastModified: 2016-12-09 11:13:06 CET Size: 680681 Format: PDF Version: 1.5 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 397 FreeObjects: 304 IncrementalUpdates: 2 DocumentCatalog: PageLayout: SinglePage PageMode: UseThumbs Language: en-US Info: Title: Feature Point Descriptors: Infrared and Visible Spectra Author: Pablo Ricaurte 1, Carmen Chilán 1, Cristhian A. Aguilera-Carrasco 2,3, Boris X. Vintimilla 1, Angel D. Sappa 1,3,* Subject: This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given. 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Aguilera-Carrasco 2,3, Boris X. Vintimilla 1, Angel D. Sappa 1,3,* Feature Point Descriptors: Infrared and Visible Spectra This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given. cross-spectral imaging feature point descriptors 2014-02-21T16:36:23Z Microsoft® Office Word 2007 2014-02-21T16:37:24+08:00 2014-02-21T16:37:24+08:00 Microsoft® Office Word 2007 cross-spectral imaging; feature point descriptors uuid:947dfd02-f280-4916-a46e-40da2ecc630b uuid:70517f56-cef8-4ce8-88a5-98effaa1f8eb Pages: Page: Sequence: 1 Page: Sequence: 2 Page: Sequence: 3 Page: Sequence: 4 Page: Sequence: 5 Page: Sequence: 6 Page: Sequence: 7 Page: Sequence: 8 Page: Sequence: 9 Page: Sequence: 10 Page: Sequence: 11 Page: Sequence: 12 Checksum: 81db249e Type: CRC32 Checksum: 431276af9eaed8b5659dea57d1a716bc Type: MD5 Checksum: 8778469463aa13101bb65fc649f1e123d7d6f3e8 Type: SHA-1