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INTERACTIVE IMAGE-BASED 3D MODELING

ADM BABIKER, MAl BABIKER (2012) INTERACTIVE IMAGE-BASED 3D MODELING. PhD thesis, Universiti Teknologi PETRONAS.

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Abstract

The Shape-From-Shading (SFS) problem is a fundamental and classical problem m computer vision. It is the process of computing three dimensional shape of a surface using its shading information from a single image. SFS deals with the recovery of surface orientation and surface shape (height) from the gradual variation of shading in the image. SFS is implemented by firstly modeling the image brightness as a function of surface geometry and then reconstructing a surface which, under the given imaging model, generates an image close to the input image. In this work, a new interactive method for reconstructing shape from shading is presented. Most of the existing works exhibit difficulties in computing 3D shape for t1at areas as well as area with high brightness (highlights). Interactive shape from shading uses human knowledge to compute the 30 shape for areas with zero gradients on the surface. The previous techniques use either fast marching smoothing after segmenting the image into smaller parts or mass spring fitting to provide smooth transition between hills and valleys on the image. This work, unlike similar previous techniques, focuses more on enhancing the problem areas in traditional shape from shading which makes it efficient and robust. In this work, the user interactively correct the generated 30 shape of objects from the 20 image especially in highlight and dark areas in the image. This method uses human knowledge for extracting as well as correcting the problem areas. After the user has identified the rough location of the problem area. the exact area is selected using edge detection process. Sometimes there are no clear edges in the Image. Therefore, these areas have to be selected interactively using polygonal fitting.

Item Type: Thesis (PhD)
Academic Subject : Academic Department - Information Communication Technology
Subject: Q Science > Q Science (General)
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 23 Sep 2021 09:59
Last Modified: 23 Sep 2021 09:59
URI: http://utpedia.utp.edu.my/id/eprint/21620

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