Records |
Author |
N. Onkarappa; Cristhian A. Aguilera; B. X. Vintimilla; Angel D. Sappa |
Title |
Cross-spectral Stereo Correspondence using Dense Flow Fields |
Type |
Conference Article |
Year |
2014 |
Publication |
Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2014 |
Abbreviated Journal |
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Volume |
3 |
Issue |
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Pages |
613 - 617 |
Keywords |
Cross-spectral Stereo Correspondence, Dense Optical Flow, Infrared and Visible Spectrum |
Abstract |
This manuscript addresses the cross-spectral stereo correspondence problem. It proposes the usage of a dense flow field based representation instead of the original cross-spectral images, which have a low correlation. In this way, working in the flow field space, classical cost functions can be used as similarity measures. Preliminary experimental results on urban environments have been obtained showing the validity of the proposed approach. |
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Corporate Author |
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Thesis |
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Publisher |
IEEE |
Place of Publication |
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Editor |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
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Expedition |
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Conference |
2014 International Conference on Computer Vision Theory and Applications (VISAPP) |
Notes |
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Approved |
no |
Call Number |
cidis @ cidis @ |
Serial |
27 |
Permanent link to this record |
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Author |
P. Ricaurte; C. Chilán; C. A. Aguilera-Carrasco; B. X. Vintimilla; Angel D. Sappa |
Title |
Performance Evaluation of Feature Point Descriptors in the Infrared Domain |
Type |
Conference Article |
Year |
2014 |
Publication |
Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2013 |
Abbreviated Journal |
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Volume |
1 |
Issue |
|
Pages |
545 -550 |
Keywords |
Infrared Imaging, Feature Point Descriptors |
Abstract |
This paper presents a comparative evaluation of classical feature point descriptors when they are used in the long-wave infrared spectral band. Robustness to changes in rotation, scaling, blur, and additive noise are evaluated using a state of the art framework. Statistical results using an outdoor image data set are presented together with a discussion about the differences with respect to the results obtained when images from the visible spectrum are considered. |
Address |
|
Corporate Author |
|
Thesis |
|
Publisher |
IEEE |
Place of Publication |
|
Editor |
|
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
|
ISBN |
|
Medium |
|
Area |
|
Expedition |
|
Conference |
2014 International Conference on Computer Vision Theory and Applications (VISAPP) |
Notes |
|
Approved |
no |
Call Number |
cidis @ cidis @ |
Serial |
26 |
Permanent link to this record |