测试技术学报2025，Vol.39Issue(1)：54-62,9.DOI:10.62756/csjs.1671-7449.2025009
金字塔局部聚合描述符的视觉位置识别研究
Learning PyramidVLAD for Visual Place Recognition
摘要
Abstract
Visual place recognition is an important issue in both computer vision and robotics.Changes in image content caused by viewpoint changes in natural scenes still pose a challenge to location recognition.To solve this problem,a novel feature reorganization method based on location clustering is proposed.Firstly,a general pyramid expansion scheme is extracted based on histogram features,called PyramidV-LAD.To maximize the effect of the new function,the similarity is evaluated by clustering images with a certain threshold into same location.Extensive experiments have been conducted to verify the effective-ness of the proposed method using Pyramid VLAD to compare with the best method,APANet.These two datasets achieve improvements of 1.02 and 2.54 percent points in Recall@1,respectively.The results show that this method can consistently obtain better performance than the state-of-the-art methods on the two standard place recognition benchmarks.关键词
视觉位置识别/金字塔主成分/位置聚类/图像处理Key words
visual place recognition/pyramid principal phases/place clustering/image processing分类
信息技术与安全科学引用本文复制引用
张婉怡,王佳,宋明星..金字塔局部聚合描述符的视觉位置识别研究[J].测试技术学报,2025,39(1):54-62,9.基金项目
吉林省教育厅科研项目(JJKH20230506KJ,JJKH20230510KJ) （JJKH20230506KJ,JJKH20230510KJ）
