{"title":"INSPORAMA: INS-Aided Misalignment Correction in Feature-Based Panoramic Image Stitching","authors":"Yuan Gao, Chenguang Wang, E. Chang","doi":"10.1109/ICMEW.2012.120","DOIUrl":null,"url":null,"abstract":"Feature-based image stitching, which aligns images with overlapping fields of view and then stitches them together, is a widely used panorama-construction technology. However, the current scale-, view- and illumination-invariant features can still result in misalignment because of occurrences of congruent or near-congruent features. We propose an INS (inertial navigation system) aided image-alignment method, named INSPORAMA, to reduce such misalignment. INSPORAMA improves image alignment accuracy by reducing both image area and the number of candidate feature-pairs to compare. Based on INSPORAMA, we have built an Android application, which is able to construct panoramic images in near real-time.","PeriodicalId":385797,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo Workshops","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Multimedia and Expo Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMEW.2012.120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Feature-based image stitching, which aligns images with overlapping fields of view and then stitches them together, is a widely used panorama-construction technology. However, the current scale-, view- and illumination-invariant features can still result in misalignment because of occurrences of congruent or near-congruent features. We propose an INS (inertial navigation system) aided image-alignment method, named INSPORAMA, to reduce such misalignment. INSPORAMA improves image alignment accuracy by reducing both image area and the number of candidate feature-pairs to compare. Based on INSPORAMA, we have built an Android application, which is able to construct panoramic images in near real-time.