LGHD: A feature descriptor for matching across non-linear intensity variations

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 th...

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Bibliographic Details
Published in2015 IEEE International Conference on Image Processing (ICIP) pp. 178 - 181
Main Authors Aguilera, Cristhian A., Sappa, Angel D., Toledo, Ricardo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2015
Subjects
Computer vision
Detectors
Feature descriptor
Feature extraction
Histograms
LWIR
multi-modal
multi-spectral
NIR
Robustness
Three-dimensional displays
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DOI10.1109/ICIP.2015.7350783

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Summary: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.
DOI:10.1109/ICIP.2015.7350783