典型文献
Vision-based aerial image mosaicking algorithm with object detection
文献摘要：
Aerial image sequence mosaicking is one of the chal-lenging research fields in computer vision. To obtain large-scale orthophoto maps with object detection information, we propose a vision-based image mosaicking algorithm without any extra location data. According to object detection results, we define a complexity factor to describe the importance of each input ima-ge and dynamically optimize the feature extraction process. The feature points extraction and matching processes are mainly guided by the speeded-up robust features (SURF) and the grid motion statistic (GMS) algorithm respectively. A robust refer-ence frame selection method is proposed to eliminate the trans-formation distortion by searching for the center area based on overlaps. Besides, the sparse Levenberg-Marquardt (LM) al-gorithm and the heavy occluded frames removal method are ap-plied to reduce accumulated errors and further improve the mo-saicking performance. The proposed algorithm is performed by using multithreading and graphics processing unit (GPU) accel-eration on several aerial image datasets. Extensive experiment results demonstrate that our algorithm outperforms most of the existing aerial image mosaicking methods in visual quality while guaranteeing a high calculation speed.
文献关键词：
中图分类号：
作者姓名：
HAN Jun;LI Weixing;FENG Kai;PAN Feng
作者机构：
School of Automation,Beijing Institute of Technology,Beijing 100081,China
文献出处：
引用格式：
[1]HAN Jun;LI Weixing;FENG Kai;PAN Feng-.Vision-based aerial image mosaicking algorithm with object detection)[J].系统工程与电子技术（英文版）,2022(02):259-268
A类：
saicking,multithreading
B类：
Vision,aerial,image,mosaicking,algorithm,object,detection,Aerial,sequence,one,chal,lenging,research,fields,computer,vision,To,obtain,large,scale,orthophoto,maps,information,we,without,any,location,According,results,define,complexity,describe,importance,each,input,dynamically,optimize,extraction,points,matching,processes,mainly,guided,by,speeded,up,robust,features,SURF,grid,motion,statistic,GMS,respectively,refer,selection,proposed,eliminate,trans,distortion,searching,center,area,overlaps,Besides,sparse,Levenberg,Marquardt,LM,heavy,occluded,frames,removal,plied,reduce,accumulated,errors,further,improve,performance,performed,using,graphics,processing,unit,GPU,accel,eration,several,datasets,Extensive,experiment,demonstrate,that,our,outperforms,most,existing,methods,visual,quality,while,guaranteeing,high,calculation
AB值：
0.606928
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