Hamzah, Rostam Affendi and Zainal Azali, Muhammad Nazmi and Mohd Noh, Zarina and Tengku Wook, Tg Mohd Faisal and Zainal Abidin, Izwan (2023) Stereo matching algorithm using census transform and segment tree for depth estimation. TELKOMNIKA (Telecommunication Computing Electronics And Control), 21 (1). pp. 150-158. ISSN 1693-6930
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Abstract
This article proposes an algorithm for stereo matching corresponding process that will be used in many applications such as augmented reality, autonomous vehicle navigation and surface reconstruction. Basically, the proposed framework in this article is developed through a series of functions. The final result from this framework is disparity map which this map has the information of depth estimation. Fundamentally, the framework input is the stereo image which represents left and right images respectively. The proposed algorithm in this article has four steps in total, which starts with the matching cost computation using census transform, cost aggregation utilizes segment-tree, optimization using winner-takes-all (WTA) strategy, and post-processing stage uses weighted median filter. Based on the experimental results from the standard benchmarking evaluation system from the Middlebury, the disparity map results produce an average low noise error at 9.68% for nonocc error and 18.9% for all error attributes. On average, it performs far better and very competitive with other available methods from the benchmark system
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Census transform, Cyber-physical system , Segment-tree cost aggregation, Stereo matching algorithm, Stereo vision, Weighted median filtering |
| Divisions: | Faculty of Electronics and Computer Engineering |
| Depositing User: | Norfaradilla Idayu Ab. Ghafar |
| Date Deposited: | 19 Jun 2024 10:28 |
| Last Modified: | 19 Jun 2024 10:28 |
| URI: | http://eprints.utem.edu.my/id/eprint/27100 |
| Statistic Details: | View Download Statistic |
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