点击次数：

论文类型：期刊论文

发表时间：2022-06-29

发表刊物：兵工学报

所属单位：机械工程学院

期号：6

页面范围：808-812

ISSN号：1000-1093

摘要：The performance of the detector based on gray declines with scale's changing in applied fields of image matching, object recognition and video retrieval. To get over the deficiency, a detector with scale invariance, that is iterative Harris-Laplace detector (Ite-HL-Det), was constructed. Harris corner detector was used first to extract initial points in conditions of multi-scale. Then, in the whole scale space, iterative method was applied to confirm characteristic scale of certain local structure according to the local extremum of the normalized Laplacian and finally the spatial locations of interest points by Harris measure based on the definition and property of the characteristic scale proposed comprehensively. The experimental results show that neighborhoods of interest points extracted by Ite-HL-Det can well cover the same local image regions at varying scale and rotation.

备注：新增回溯数据