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We propose a novel method for detecting and reconstructing tubular shapes in dense, noisy, occluded and unorganized point clouds. The STEP method (Snakes for Tuboid Extraction from Point clouds) was originally designed to reconstruct woody parts of trees scanned with terrestrial LiDAR in natural forest environments. The STEP method deals with the acquisition artefacts of point clouds from terrestrial...
Given a planar point set S, outer boundary detection (shape reconstruction) is an extensively studied problem whereas, inner boundary (hole) detection is not a well researched one, probably because detecting the presence of a hole itself is a difficult task. Nevertheless, hole detection has wide applications in areas such as face recognition, model retrieval and pattern recognition. We present a Delaunay...
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