Stereo Camera – based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm

Achmad, MS Hendriyawan Stereo Camera – based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm. Stereo Camera – based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm.

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Abstract

A 3D reconstruction using stereo cameras still becomes an issue among researchers specialized in computer vision. The corresponding pixel between two images from stereo camera needs to be estimated accurately. One of the widely used methods is Semi-Global Matching (SGM), which uses mutual information (MI) in the form of entropy between two pixels to determine the level of similarity based on the smallest energy (lower cost). The reconstruction result shows the percentage of registered pointcloud is equal to 62.11% where the observation distance ranges are between 1 to 4 meters. In this research, a nearest-neighbor filter is utilized to improve the pointcloud quality where the variations of the neighbor's number are 4 to 128 pixels. The results show that this technique can eliminate the outliers up to 4.9% with the standard deviation of nearestneighbor distances means equals to 1.0.

Item Type: Article
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknologi Informasi dan Elektro > S1 Teknik Elektro
Depositing User: UTY MS Hendriyawan Achmad
Date Deposited: 02 Jul 2019 08:01
Last Modified: 02 Jul 2019 08:12
URI: http://eprints.uty.ac.id/id/eprint/2866

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