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Depth estimation using multiwavelet analysis based stereo vision approach

journal contribution
posted on 2008-05-01, 00:00 authored by Asim BhattiAsim Bhatti, Saeid NahavandiSaeid Nahavandi
The problem of dimensional defects in aluminum die-casting is widespread throughout the foundry industry and their detection is of paramount importance in maintaining product quality. Due to the unpredictable factory environment and metallic, with highly reflective, nature of aluminum die-castings, it is extremely hard to estimate true dimensionality of the die-casting, autonomously. In this work, we propose a novel robust 3D reconstruction algorithm capable of reconstructing dimensionally accurate 3D depth models of the aluminum die-castings. The developed system is very simple and cost effective as it consists of only a stereo camera pair and a simple fluorescent light. The developed system is capable of estimating surface depths within the tolerance of 1.5 mm. Moreover, the system is invariant to illuminative variations and orientation of the objects in the input image space, which makes the developed system highly robust. Due to its hardware simplicity and robustness, it can be implemented in different factory environments without a significant change in the setup.

History

Journal

International journal of wavelets, multiresolution and information processing

Volume

6

Issue

3

Pagination

481 - 497

Publisher

World Scientific

Location

New Jersey

ISSN

0219-6913

eISSN

1793-690X

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2008, World Scientific Publishing