| Records |
| Author |
Cristhian A. Aguilera; Angel D. Sappa; R. Toledo |
| Title |
LGHD: A feature descriptor for matching across non-linear intensity variations |
Type |
Conference Article |
| Year |
2015 |
Publication |
IEEE International Conference on, Quebec City, QC, 2015 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
178 - 181 |
| Keywords |
Feature descriptor, multi-modal, multispectral, NIR, LWIR |
Abstract  |
This paper presents a new feature descriptor suitable to the task of matching features points between images with nonlinear intensity variations. This includes image pairs with significant illuminations changes, multi-modal image pairs and multi-spectral image pairs. The proposed method describes the neighbourhood of feature points combining frequency and spatial information using multi-scale and multi-oriented Log- Gabor filters. Experimental results show the validity of the proposed approach and also the improvements with respect to the state of the art. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
IEEE |
Place of Publication |
Quebec City, QC, Canada |
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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ISBN |
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Medium |
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Expedition |
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Conference |
2015 IEEE International Conference on Image Processing (ICIP) |
| Notes |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
40 |
| Permanent link to this record |
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| Author |
Mildred Cruz; Cristhian A. Aguilera; Boris X. Vintimilla; Ricardo Toledo; Ángel D. Sappa |
| Title |
Cross-spectral image registration and fusion: an evaluation study |
Type |
Conference Article |
| Year |
2015 |
Publication |
2nd International Conference on Machine Vision and Machine Learning |
Abbreviated Journal |
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| Volume |
331 |
Issue |
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Pages |
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| Keywords |
multispectral imaging; image registration; data fusion; infrared and visible spectra |
| Abstract |
This paper presents a preliminary study on the registration and fusion of cross-spectral imaging. The objective is to evaluate the validity of widely used computer vision approaches when they are applied at different spectral bands. In particular, we are interested in merging images from the infrared (both long wave infrared: LWIR and near infrared: NIR) and visible spectrum (VS). Experimental results with different data sets are presented. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
Computer Vision Center |
Place of Publication |
Barcelona, Spain |
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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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
35 |
| Permanent link to this record |
