Local Stereo Matching Algorithm Using Modified Dynamic Cost Computation

Kadmin, Ahmad Fauzan and Hamzah, Rostam Affendi and Abd Manap, Nurulfajar and Hamid, Mohd Saad and Tg. Wook, Tg Mohd Faizal (2021) Local Stereo Matching Algorithm Using Modified Dynamic Cost Computation. Indonesian Journal Of Electrical Engineering And Computer Science, 22 (3). pp. 1312-1319. ISSN 2502-4752

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Abstract

Stereo matching is an essential subject in stereo vision architecture. Traditional framework composition consists of several constraints in stereo correspondences such as illumination variations in images and inadequate or non-uniform light due to uncontrollable environments. This work improves the local method stereo matching algorithm based on the dynamic cost computation method for depth measurement. This approach utilised modified dynamic cost computation in the matching cost. A modified census transform with dynamic histogram is used to provide the cost in the cost computation. The algorithm applied the fixed-window strategy with bilateral filtering to retain image depth information and edge in the cost aggregation stage. A winner takes all (WTA) optimisation and left-right check with adaptive bilateral median filtering are employed for disparity refinement. Based on the Middlebury benchmark dataset, the algorithm developed in this work has better accuracy and outperformed several other state-of-the-art algorithms

Item Type:	Article
Uncontrolled Keywords:	Disparity Map, Dynamic Cost, Local Method, Stereo Correspondence, Stereo Matching
Divisions:	Faculty of Electrical and Electronic Engineering Technology > Department of Electronic and Computer Engineering Technology
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	14 Mar 2022 11:40
Last Modified:	14 Mar 2022 11:41
URI:	http://eprints.utem.edu.my/id/eprint/25674
Statistic Details:	View Download Statistic

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