一种改进的光照不变SURF图像特征描述符

Z. Geng, Y. Qiao
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引用次数: 3

摘要

针对SURF算法精度和鲁棒性差的问题,设计了一种基于亮度阶的快速鲁棒特征描述子和匹配算法。根据特征支持区域的灰度值对像素进行分类和分割。通过建立索引表,将像素的每一段表示成一个描述符,将描述符的每一段串联起来,形成一个特征描述符,用于对图像进行匹配。实验结果表明,与SURF相比,该方法具有更高的匹配精度,对线性或非线性光照变化具有更好的鲁棒性。
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An Improved Illumination Invariant SURF Image Feature Descriptor
A speeded up robust feature descriptors and matching algorithm based on brightness order is designed to overcome the problems of precision and robustness of the original SURF algorithm. Pixels are sorted and segmented according to gray values in the features support region. By establishing an index table, each segment of the pixel is represented to form a descriptor, and each segment of the descriptor is serially connected to form a feature descriptor which is used to match the image. The experimental results show that the proposed method is more higher matching accuracy, and better robustness to linear or nonlinear illumination changes compared with SURF.
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