Automatic Alignment of 3D Point Clouds to Orthographic Images

Zi Ming Xiong; Gang Wan; Xue Feng Cao

doi:10.4028/www.scientific.net/AMR.591-593.1265

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 591-593Automatic Alignment of 3D Point Clouds to...

Automatic Alignment of 3D Point Clouds to Orthographic Images

Abstract:

Recent progress in structure-from-motion (SfM) has led to robust techniques that can operate in extremely general conditions. However, a limitation of SfM is that the scene can only be recovered up to a similarity transformation. We address the problem of automatically aligning 3D point clouds from SfM reconstructions to orthographic images. We extract feature lines from 3D point clouds, and project the feature lines onto the ground plane to create a 2D feature lines. So we reduce this alignment problem to a 2D line to 2D line alignment(match), and a novel technique for the automatic feature lines matching is presented in this paper.

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Periodical:

Advanced Materials Research (Volumes 591-593)

Pages:

1265-1268

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.591-593.1265

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Online since:

November 2012

Authors:

Zi Ming Xiong, Gang Wan, Xue Feng Cao

Keywords:

Automatic Alignment, Feature Extraction, Feature Line, Point Cloud, SFM

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