Reconstruction of images with RPCA and augmenting 3D model
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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| Формат: | Диссертация |
| Язык: | English |
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Brac University
2022
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| Online-ссылка: | http://hdl.handle.net/10361/16798 |
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10361-167982022-06-01T21:03:11Z Reconstruction of images with RPCA and augmenting 3D model Tahiti, Tasnia Jasim Yusuf, Talha Shakhawat, Chowdhury Abrar Hossain, Muhammad Iqbal Department of Computer Science and Engineering, Brac University Image processing Crime scene 3D printing Inpainting PCA Image processing -- Digital techniques. Machine learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 27-29). Crime scene photography is one of the most essential parts of documentation for all physical crime scenes in the field of forensic science. It is an organized and structured operation, having a goal of helping the investigators with the hidden information about the place of crime and finally recognizing the criminal. Photography and videography of the crime scene is a key procedure as this will further help to analyze and find viable indications about the crime. This obtained footages lead to the idea of creating a 3D model of the crime site. By using sophisticated methods in computer vision, the output obtained can be realistic reconstructions. The article further goes over a few essential designs such as crucial elements that should be included during a sophisticated Crime Scene Investigation (CSI) study. Our proposal here is to generate a realistic formation of the crime site with the multiple sophisticated designs. This also concerns the estimation of image properties such as pixel orientation, frequency, noise level etc. Moreover, we present a set of 3D pictures that have been generated and compared to state-of-the-art view synthesis methods. Furthermore, we demonstrate why using RPCA provides us with the best outcome possible. Tasnia Jasim Tahiti Talha Yusuf Chowdhury Abrar Shakhawat B. Computer Science 2022-06-01T08:19:34Z 2022-06-01T08:19:34Z 2022 2022-01 Thesis ID 18101482 ID 18101170 ID 18101497 http://hdl.handle.net/10361/16798 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 29 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Image processing Crime scene 3D printing Inpainting PCA Image processing -- Digital techniques. Machine learning |
| spellingShingle |
Image processing Crime scene 3D printing Inpainting PCA Image processing -- Digital techniques. Machine learning Tahiti, Tasnia Jasim Yusuf, Talha Shakhawat, Chowdhury Abrar Reconstruction of images with RPCA and augmenting 3D model |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Hossain, Muhammad Iqbal |
| author_facet |
Hossain, Muhammad Iqbal Tahiti, Tasnia Jasim Yusuf, Talha Shakhawat, Chowdhury Abrar |
| format |
Thesis |
| author |
Tahiti, Tasnia Jasim Yusuf, Talha Shakhawat, Chowdhury Abrar |
| author_sort |
Tahiti, Tasnia Jasim |
| title |
Reconstruction of images with RPCA and augmenting 3D model |
| title_short |
Reconstruction of images with RPCA and augmenting 3D model |
| title_full |
Reconstruction of images with RPCA and augmenting 3D model |
| title_fullStr |
Reconstruction of images with RPCA and augmenting 3D model |
| title_full_unstemmed |
Reconstruction of images with RPCA and augmenting 3D model |
| title_sort |
reconstruction of images with rpca and augmenting 3d model |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/16798 |
| work_keys_str_mv |
AT tahititasniajasim reconstructionofimageswithrpcaandaugmenting3dmodel AT yusuftalha reconstructionofimageswithrpcaandaugmenting3dmodel AT shakhawatchowdhuryabrar reconstructionofimageswithrpcaandaugmenting3dmodel |
| _version_ |
1814307203093364736 |