国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Aiming at solving the problem that SIFT (scale invariant feature transform) algorithm’s computation complexity is high and its matching accuracy is low in a complex background, an image matching algorithm by combining LBP-HSV model and improved SIFT algorithm is proposed. It first utilizes LBP histogram and HSV model to screen the identified similar region. Then it uses SIFT algorithm to detect the feature points of the target and alternative region, and take advantages of improved HOG feature to describe feature vectors. Finally, it finds matching points by using k-nearest-neighbor algorithm and weighted Euclidean distance. The results of experiments carried out on multiple pedestrian pictures show that the proposed algorithm has good robustness and high accuracy, and compared with SIFT algorithm, the matching speed is greatly improved.