Abstract
Key point matching is based on finding reliable corresponding in the images. We propose ordinal based measure of image matching. The normalized cross correlation is one of the most accepted techniques for matching key points to facilitate the comparison of images. In the literature a number of fast implementation algorithms are available, there still are ways to improve expedite for many applications. We propose a general frame work for ordinal base image correspondence. In this paper, we introduce a new and effective method for matching the key points before applying cross correlation between neighbor key points that has been adapted to scale and rotation. Several examples are presented and the measure is evaluated on a set of test images.
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Lakshmi, S., Sankaranarayanan, V. (2011). Robust Key Points Matching by Ordinal Measure. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_37
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DOI: https://doi.org/10.1007/978-3-642-27183-0_37
Publisher Name: Springer, Berlin, Heidelberg
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