Special Section on Image Processing for Cultural Heritage

Accurate three-dimensional documentation of distinct sites

[+] Author Affiliations
Mahesh K. Singh, Venkatesh K. Subramanian

Indian Institute of Technology Kanpur, Department of Electrical Engineering, 207-A/ACES, Kanpur, Uttar Pradesh 208016, India

Ashish Dutta

Indian Institute of Technology Kanpur, Department of Mechanical Engineering, 338-Faculty Building, Kanpur, Uttar Pradesh 208016, India

J. Electron. Imaging. 26(1), 011012 (Nov 29, 2016). doi:10.1117/1.JEI.26.1.011012
History: Received June 8, 2016; Accepted November 2, 2016
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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.

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Citation

Mahesh K. Singh ; Ashish Dutta and Venkatesh K. Subramanian
"Accurate three-dimensional documentation of distinct sites", J. Electron. Imaging. 26(1), 011012 (Nov 29, 2016). ; http://dx.doi.org/10.1117/1.JEI.26.1.011012


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