Abstract
The description of image region draws a lot of attention in the field of computer vision. Recently, many descriptors were proposed for image region description and achieved high achievements. These descriptors are widely used in many fields, such as object recognition, image mosaic, video tracking. In this paper, we first systematically analyze six typical descriptors: SIFT, DAISY, MROGH, MRRID, LIOP and HRI-CSLTP descriptors. Then we conduct experiments in several different situations to evaluate the performance of these descriptors. From the experimental results, we get to make a conclusion and analysis about the advantages and disadvantages of these descriptors. Finally, we make an application of these descriptors in image matching field.
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Acknowledgements
This work is supported by the National Natural Science Foundations of China (NSFC) (61370110, 61402004 & 61402003).
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Shi, K., Gao, Q., Lu, Y., Zhang, W., Sun, D. (2015). A Comparison of Local Invariant Feature Description and Its Application. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Methodologies. ICIC 2015. Lecture Notes in Computer Science(), vol 9225. Springer, Cham. https://doi.org/10.1007/978-3-319-22180-9_24
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DOI: https://doi.org/10.1007/978-3-319-22180-9_24
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