计算机技术与发展2017，Vol.27Issue(10)：6-10,5.DOI:10.3969/j.issn.1673-629X.2017.10.002
一种改进的特征点方向分配算法
An Improved Algorithm for Assigning Orientations to Feature Points
摘要
Abstract
Existing feature point orientation assignment algorithm is easily disturbed by noise and its accuracy needs to be improved in il-lumination variation and affine transform. For this,an improved algorithm for assigning orientations of feature points is put forward based on SIFT. It fixes the interval in the range of 0~360 degrees with the feature points as the center,equidistant sampling of circular image blocks in several local area,calculating the offset value of the centroid for circular image blocks to center of that. According to the statis-tics theory and experimental verification,low offset value area is easily disturbed and has no effect on the determination of dominant ori-entation. Therefore it excludes the local area of low offset value,calculates the amplitude of the pixel gradient of the residual local area, and assigns the main direction to the feature points using the directional histogram. The results of experiments show that compared with SIFT algorithm,it has a relatively higher running speed and accuracy. In addition,during the feature point matching,its accuracy is basi-cally identical with the existing algorithm in database with changeable viewpoint and improves by 17% in database with noise interfer-ence.关键词
特征点/方向分配/SIFT/梯度Key words
feature point/assigning orientations/SIFT/gradient分类
信息技术与安全科学引用本文复制引用
贾琪,王晓丹,周来恩,翟夕阳..一种改进的特征点方向分配算法[J].计算机技术与发展,2017,27(10):6-10,5.基金项目
国家自然科学基金资助项目(61273275,60975026) （61273275,60975026）
