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Journal of Electronic Imaging

Accurate three-dimensional documentation of distinct sites
Author(s): Mahesh K. Singh; Ashish Dutta; Venkatesh K. Subramanian
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Paper Abstract

One of the most critical aspects of documenting distinct sites is acquiring detailed and accurate range information. Several three-dimensional (3-D) acquisition techniques are available, but each has its own limitations. This paper presents a range data fusion method with the aim to enhance the descriptive contents of the entire 3-D reconstructed model. A kernel function is introduced for supervised classification of the range data using a kernelized support vector machine. The classification method is based on the local saliency features of the acquired range data. The range data acquired from heterogeneous range sensors are transformed into a defined common reference frame. Based on the segmentation criterion, the fusion of range data is performed by integrating finer regions of range data acquired from a laser range scanner with the coarser region of Kinect’s range data. After fusion, the Delaunay triangulation algorithm is applied to generate the highly accurate, realistic 3-D model of the scene. Finally, experimental results show the robustness of the proposed approach.

Paper Details

Date Published: 29 November 2016
PDF: 9 pages
J. Electron. Imaging. 26(1) 011012 doi: 10.1117/1.JEI.26.1.011012
Published in: Journal of Electronic Imaging Volume 26, Issue 1
Show Author Affiliations
Mahesh K. Singh, Indian Institute of Technology Kanpur (India)
Ashish Dutta, Indian Institute of Technology Kanpur (India)
Venkatesh K. Subramanian, Indian Institute of Technology Kanpur (India)

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