A New Kinect-Based Scanning System and its Application

Cheng Tiao Hsieh

doi:10.4028/www.scientific.net/AMM.764-765.1375

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 764-765A New Kinect-Based Scanning System and its...

A New Kinect-Based Scanning System and its Application

Abstract:

This paper aims at presenting a simple approach utilizing a Kinect-based scanner to create models available for 3D printing or other digital manufacturing machines. The outputs of Kinect-based scanners are a depth map and they usually need complicated computational processes to prepare them ready for a digital fabrication. The necessary processes include noise filtering, point cloud alignment and surface reconstruction. Each process may require several functions and algorithms to accomplish these specific tasks. For instance, the Iterative Closest Point (ICP) is frequently used in a 3D registration and the bilateral filter is often used in a noise point filtering process. This paper attempts to develop a simple Kinect-based scanner and its specific modeling approach without involving the above complicated processes.The developed scanner consists of an ASUS’s Xtion Pro and rotation table. A set of organized point cloud can be generated by the scanner. Those organized point clouds can be aligned precisely by a simple transformation matrix instead of the ICP. The surface quality of raw point clouds captured by Kinect are usually rough. For this drawback, this paper introduces a solution to obtain a smooth surface model. Inaddition, those processes have been efficiently developed by free open libraries, VTK, Point Cloud Library and OpenNI.

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Periodical:

Applied Mechanics and Materials (Volumes 764-765)

Pages:

1375-1379

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.764-765.1375

Citation:

Cite this paper

Online since:

May 2015

Authors:

Cheng Tiao Hsieh*

Keywords:

3D Registration, 3D Sensing, Noise Point Filtering, Point Extraction, Transformation Matrix, Xtion Pro

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* - Corresponding Author

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