Abstract
In order to make the feature descriptor stable for rotating, the SIFT (Scale Invariant Feature Transform) algorithm assigned a main direction for feature points and rotated the local image according to the main direction. This paper do some research on the rotating process of SIFT algorithm, and put forward a new algorithm based on invariant gradient. The defined pixels’ gradient-invariant in the new algorithm is mainly relevant to the gray value of the nearest 8 pixels, and has nothing with the relative position of the 8 pixels around. The experimental results showed that collecting pixels’ gradient-invariant statistics can effectively improve SIFT algorithm’s computing speed.
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© 2016 Springer Science+Business Media Singapore
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Li, D., Shi, R., Li, S., Zhou, X. (2016). An Improved SIFT Algorithm Based on Invariant Gradient. In: Ouyang, Y., Xu, M., Yang, L., Ouyang, Y. (eds) Advanced Graphic Communications, Packaging Technology and Materials. Lecture Notes in Electrical Engineering, vol 369. Springer, Singapore. https://doi.org/10.1007/978-981-10-0072-0_29
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DOI: https://doi.org/10.1007/978-981-10-0072-0_29
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