Template match using local feature with view invariance

Cen Lu; Gang Zhou

doi:10.1117/12.2031068

27 October 2013 Template match using local feature with view invariance

Cen Lu, Gang Zhou

Proceedings Volume 8919, MIPPR 2013: Pattern Recognition and Computer Vision; 89190C (2013) https://doi.org/10.1117/12.2031068
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

Matching the template image in the target image is the fundamental task in the field of computer vision. Aiming at the deficiency in the traditional image matching methods and inaccurate matching in scene image with rotation, illumination and view changing, a novel matching algorithm using local features are proposed in this paper. The local histograms of the edge pixels (LHoE) are extracted as the invariable feature to resist view and brightness changing. The merits of the LHoE is that the edge points have been little affected with view changing, and the LHoE can resist not only illumination variance but also the polution of noise. For the process of matching are excuded only on the edge points, the computation burden are highly reduced. Additionally, our approach is conceptually simple, easy to implement and do not need the training phase. The view changing can be considered as the combination of rotation, illumination and shear transformation. Experimental results on simulated and real data demonstrated that the proposed approach is superior to NCC(Normalized cross-correlation) and Histogram-based methods with view changing.

Citation Download Citation

Cen Lu and Gang Zhou "Template match using local feature with view invariance", Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89190C (27 October 2013); https://doi.org/10.1117/12.2031068

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