IMAGE SCENE RECONSTRUCTION FROM DASHCAM VIDEO

PUA, ZE LONG (2018) IMAGE SCENE RECONSTRUCTION FROM DASHCAM VIDEO. [Final Year Project Report] (Unpublished)

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Abstract

This project presents a method for street scene image reconstruction from recorded driving video. The aim of the project is to combine street scene image along the road. The image generated will be the left-side and right-side street scenes along the street for two types of road which are straight and bend roads. Main technique applied in this project is the SURF feature based panoramic image stitching. Reconstructed street scene image was validated with subjective Image Quality Assessment. This report discusses on the project background, literature review on related research, methodology, result, discussion and future development of this project. The entire process of the project was demonstrated using MATLAB. Without the need to install high-end devices, street scene image with satisfying visual summary along the way was reconstructed from captured driving video.

Item Type: Final Year Project Report
Additional Information: Project report (BEE) -- Universiti Malaysia Sarawak, 2018.
Uncontrolled Keywords: straight and bend roads, Image Quality Assessment, driving video
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Dan
Date Deposited: 11 Feb 2021 04:30
Last Modified: 23 Sep 2021 12:41
URI: http://ir.unimas.my/id/eprint/34359

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