The Effect of Curvature Estimations and Lighting Factor In The Edge Detection For 3D Rendered Images

This paper presents new approach in the edge detection of 3D images (for nonphotorealistic rendering). This new approach uses curvature estimations with lighting effect on triangle mesh as a new factor in edge detection process. New algorithm to detect edges on 3D curved surface with results is pres...

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Main Author: Alaa Noori Mazher
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2012-09-01
Series:Engineering and Technology Journal
Online Access:https://etj.uotechnology.edu.iq/article_65976_3d649f22e6126d7cc4d01db35a0ddf73.pdf
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author Alaa Noori Mazher
author_facet Alaa Noori Mazher
author_sort Alaa Noori Mazher
collection DOAJ
description This paper presents new approach in the edge detection of 3D images (for nonphotorealistic rendering). This new approach uses curvature estimations with lighting effect on triangle mesh as a new factor in edge detection process. New algorithm to detect edges on 3D curved surface with results is presented. In the proposed technique, the curved surface is generated by using Bezier curves and those generated curves are connected together using a special fashion to generate triangle mesh. Depending on those generated curves, the direction of surface becomes defined. The curvature is then calculated at defined points on each curve. The estimated curvature and lighting effect determine if there is edge can be detected or not. The size of the step of jumping between two defined areas determines the accuracy of detecting edge. The algorithm is tested on curved-surface which on it the edges are hardly to detect. Keywords: Triangle Mesh, Curvature, Edge detection.
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spelling doaj.art-131a5314df9042509a1d25c8aeca2f6e2024-02-04T17:39:58ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582012-09-0130162757276610.30684/etj.30.16.265976The Effect of Curvature Estimations and Lighting Factor In The Edge Detection For 3D Rendered ImagesAlaa Noori MazherThis paper presents new approach in the edge detection of 3D images (for nonphotorealistic rendering). This new approach uses curvature estimations with lighting effect on triangle mesh as a new factor in edge detection process. New algorithm to detect edges on 3D curved surface with results is presented. In the proposed technique, the curved surface is generated by using Bezier curves and those generated curves are connected together using a special fashion to generate triangle mesh. Depending on those generated curves, the direction of surface becomes defined. The curvature is then calculated at defined points on each curve. The estimated curvature and lighting effect determine if there is edge can be detected or not. The size of the step of jumping between two defined areas determines the accuracy of detecting edge. The algorithm is tested on curved-surface which on it the edges are hardly to detect. Keywords: Triangle Mesh, Curvature, Edge detection.https://etj.uotechnology.edu.iq/article_65976_3d649f22e6126d7cc4d01db35a0ddf73.pdf
spellingShingle Alaa Noori Mazher
The Effect of Curvature Estimations and Lighting Factor In The Edge Detection For 3D Rendered Images
Engineering and Technology Journal
title The Effect of Curvature Estimations and Lighting Factor In The Edge Detection For 3D Rendered Images
title_full The Effect of Curvature Estimations and Lighting Factor In The Edge Detection For 3D Rendered Images
title_fullStr The Effect of Curvature Estimations and Lighting Factor In The Edge Detection For 3D Rendered Images
title_full_unstemmed The Effect of Curvature Estimations and Lighting Factor In The Edge Detection For 3D Rendered Images
title_short The Effect of Curvature Estimations and Lighting Factor In The Edge Detection For 3D Rendered Images
title_sort effect of curvature estimations and lighting factor in the edge detection for 3d rendered images
url https://etj.uotechnology.edu.iq/article_65976_3d649f22e6126d7cc4d01db35a0ddf73.pdf
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