Abstract
Abstract. The paper illustrates an automated methodology capable of finding tie points in different categories of images for a successive orientation and camera pose estimation procedure. The algorithmic implementation is encapsulated into a software called ATiPE. The entire procedure combines several algorithms of both Computer Vision (CV) and Photogrammetry in order to obtain accurate results in an automated way. Although there exist numerous efficient solutions for images taken with the traditional aerial block geometry, the complexity and diversity of image network geometry in close-range applications makes the automatic identification of tie points a very complicated task. The reported examples were made available for the 3D-ARCH 2011 conference and include images featuring different characteristics in terms of resolution, network geometry, calibration information and external constraints (ground control points, known distances). In addition, some further examples are shown, that demonstrate the capability of the orientation procedure to cope with a large variety of block configurations.
Highlights
The capability of obtaining accurate measurements with images is the primary goal of photogrammetry
The goal of this paper is to review ATiPE (Automatic Tie Point Extraction – Barazzetti et al, 2010a; Barazzetti, 2011), a procedure developed for the automatic orientation of closerange image blocks
This concept can be applied for outlier rejection in datasets that contain a certain number of incorrect correspondences derived with feature-based matching (FBM) algorithms
Summary
The capability of obtaining accurate measurements with images is the primary goal of photogrammetry. The last stage (4) concerns the creation of structured 3D data from the unstructured dense or sparse point cloud obtained at International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXVIII-5/W16, 2011 ISPRS Trento 2011 Workshop, 2-4 March 2011, Trento, Italy stage (3) for texturing, visualization or other possible applications. The description of this task is out of the scope of this paper, but the reader is referred to the specific literature They include low and high resolution images, calibrated and uncalibrated cameras, ordered sequences and sparse blocks, dataset with external constraints like ground control points (GCPs) and known distances for accuracy analyses
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