FEATURE MATCHING OF HISTORICAL IMAGES BASED ON GEOMETRY OF QUADRILATERALS

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Henze, F.^1¹  Maiwald, F.^1²  Schneider, D.^1³ 

[1] Human-Computer Interaction, Julius-Maximilians-Universität Würzburg, Germany^3;Institute of Photogrammetry and Remote Sensing, TU Dresden, Germany^1;Media Center, TU Dresden, Germany^2

关键词: historical images;    image orientation;    feature matching;    descriptor matching;    quadrilaterals;    geometry;   

DOI  :  10.5194/isprs-archives-XLII-2-643-2018

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

This contribution shows an approach to match historical images from the photo library of the Saxon State and University Library Dresden (SLUB) in the context of a historical three-dimensional city model of Dresden. In comparison to recent images, historical photography provides diverse factors which make an automatical image analysis (feature detection, feature matching and relative orientation of images) difficult. Due to e.g. film grain, dust particles or the digitalization process, historical images are often covered by noise interfering with the image signal needed for a robust feature matching. The presented approach uses quadrilaterals in image space as these are commonly available in man-made structures and façade images (windows, stones, claddings). It is explained how to generally detect quadrilaterals in images. Consequently, the properties of the quadrilaterals as well as the relationship to neighbouring quadrilaterals are used for the description and matching of feature points. The results show that most of the matches are robust and correct but still small in numbers.

【 授权许可】

CC BY