Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 3-7, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-3-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 3-7, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-3-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

ROBUST FEATURE MATCHING IN TERRESTRIAL IMAGE SEQUENCES

A. Abbas and S. Ghuffar A. Abbas and S. Ghuffar
  • Geospatial Research and Education Lab (GREL), Dept. of Space Science, Institute of Space Technology, Islamabad, Pakistan

Keywords: Feature Detection, Feature Matching, SIFT, SURF, RANSAC, 3D Reconstruction

Abstract. From the last decade, the feature detection, description and matching techniques are most commonly exploited in various photogrammetric and computer vision applications, which includes: 3D reconstruction of scenes, image stitching for panoramic creation, image classification, or object recognition etc. However, in terrestrial imagery of urban scenes contains various issues, which include duplicate and identical structures (i.e. repeated windows and doors) that cause the problem in feature matching phase and ultimately lead to failure of results specially in case of camera pose and scene structure estimation. In this paper, we will address the issue related to ambiguous feature matching in urban environment due to repeating patterns.