Image jigsaw puzzle

This paper presents the process of multiple image stitching. Using a robust feature-base matching method to detect and extract distinctive invariant features from image. Applying fitting model to remove noisy point and outliers to enhance feature matching result. Estimating and optimizing the camera...

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Bibliographic Details
Main Author: Lin, HaoXian
Other Authors: Chua Chin Seng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/138955
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1389552023-07-07T18:38:37Z Image jigsaw puzzle Lin, HaoXian Chua Chin Seng School of Electrical and Electronic Engineering ecschua@ntu.edu.sg Engineering::Electrical and electronic engineering This paper presents the process of multiple image stitching. Using a robust feature-base matching method to detect and extract distinctive invariant features from image. Applying fitting model to remove noisy point and outliers to enhance feature matching result. Estimating and optimizing the camera parameters for correct image transformation. Finally, correct any distortion in the panorama to restore the naturality. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-14T05:38:22Z 2020-05-14T05:38:22Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/138955 en A1046-191 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Lin, HaoXian
Image jigsaw puzzle
description This paper presents the process of multiple image stitching. Using a robust feature-base matching method to detect and extract distinctive invariant features from image. Applying fitting model to remove noisy point and outliers to enhance feature matching result. Estimating and optimizing the camera parameters for correct image transformation. Finally, correct any distortion in the panorama to restore the naturality.
author2 Chua Chin Seng
author_facet Chua Chin Seng
Lin, HaoXian
format Final Year Project
author Lin, HaoXian
author_sort Lin, HaoXian
title Image jigsaw puzzle
title_short Image jigsaw puzzle
title_full Image jigsaw puzzle
title_fullStr Image jigsaw puzzle
title_full_unstemmed Image jigsaw puzzle
title_sort image jigsaw puzzle
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/138955
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