Line Matching Based on Viewpoint-Invariance for Stereo Wide-Baseline Aerial Images

Abstract

Line matching is the foundation of three-dimensional (3D) outline reconstruction for city buildings in aerial photogrammetry. Many existing studies have good line matching effects when dealing with aerial images with short baselines and small viewing angles. However, when faced with wide-baseline and large viewing-angle images, the matching effect drops sharply or even fails altogether. This paper deals with an efficient and simple method to achieve better line matching performance by a pair of wide-baseline aerial images, which make use of viewpoint-in variance to conduct line matching in rectified image spaces. Firstly, the perspective transformation relationship between the image plane and the geoid plane can be established from a Positioning and Orientation System (POS). Then, according to perspective projection matrices, two original images are separately rectified to conformal images, whose perspective deformation of large viewing-angle can be eliminated. Finally, the rectified images are used to conduct line matching, and the matched line segments obtained are back-projected to the original images. Four pairs of urban oblique aerial images are used to demonstrate the validity and efficiency of this method. Compared with line matching on original images, the number and the correctness of the matched line segments are greatly improved. Moreover, there is no loss of time efficiency. The proposed method can also be applied to general UAV (Unmanned Aerial Vehicle) aerial photogrammetry and introduced into matching for other geometric features, such as points, circles, curves, etc.

Constructing a Virtual Environment for Multibody Simulation Software Using Photogrammetry

“…Wang et al has introduced a procedure-based online matching to increase the accuracy of the 3D models produced with the photogrammetry. The procedure has been applied in recognizing buildings in aerial images [35]. In addition, the photogrammetry method is currently being used for constructing historical and cultural buildings [36].…”

Robust Line Matching for Image Sequences Based on Point Correspondences and Line Mapping

“…sometimes divide a 3D line segment into multiple fragments in different image views [8]. A fragmented single-line segment is more difficult to match than feature points [9], [10]. This problem not only increases the probability of mismatches and missing matches but also fails to deliver good performance on a full line structure.…”