A Novel Approach to Smoothing on 3d Structured Adaptive Mesh of the Kinect-based Models

Abstract

3-dimensional object modelling of real world objects in steady state by means of multiple point cloud (pcl) depth scans taken by using sensing camera and application of smoothing algorithm are suggested in this study. Polygon structure, which is constituted by coordinates of point cloud (x,y,z) corresponding to the position of 3D model in space and obtained by nodal points and connection of these points by means of triangulation, is utilized for the demonstration of 3D models. Gaussian smoothing and developed methods are applied to the mesh consisting of merge of these polygons, and a new mesh simplification and augmentation algorithm are suggested for the over the 3D modelling. Mesh consisting of merge of polygons can be demonstrated in a more packed, smooth and fluent way. In this study is shown that applied the triangulation and smoothing method for 3D modelling, perform to a fast and robust mesh structures compared to existing methods therewithal no remeshing is necessary for refinement and reduction.

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Cite this paper

@inproceedings{zbay2013ANA, title={A Novel Approach to Smoothing on 3d Structured Adaptive Mesh of the Kinect-based Models}, author={E. {\"{O}zbay and Ahmet Çınar}, year={2013} }