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Title : A FEATURE-BASED MATCHING STRATEGY FOR AUTOMATED 3D MODEL RECONSTRUCTION IN MULTI-IMAGE CLOSE-RANGE PHOTOGRAMMETRY
Company : University of Melbourne
File Name : Fraser.pdf
Size : 528315
Type : application/pdf
Date : 03-Jun-2010
Downloads : 11

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Featured Paper by

Clive Fraser, Ida Jazayeri and Simon Cronk

Feature-based matching is commonly employed for object surface reconstruction in topographic and stereo close-range photogrammetry, but rarely in conjunction with convergent photogrammetric networks. This paper describes a new feature-based matching approach to automated 3D object reconstruction from highly convergent, multi-image networks. Geometric diversity and redundancy in the network design are a distinct advantage with the approach, which commences with automatic exterior orientation. The FAST interest operator is then applied to Wallis-filtered images to extract interest points, and matching of interest points is carried out to yield a dense 3D point cloud. The surface point data is subsequently converted to a triangulated mesh via a Poisson Surface Reconstruction technique, and textured.
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