An improved image registration technique for shape reconstruction
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
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| Idioma: | English |
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BRAC University
2017
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| Acceso en liña: | http://hdl.handle.net/10361/8244 |
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10361-8244 |
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10361-82442022-01-26T10:19:57Z An improved image registration technique for shape reconstruction Roy, Biprojit Oishe, Geetanjali Ali, Md. Haider Mostakim, Moin Department of Computer Science and Engineering, BRAC University Image registration Shape reconstruction This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Cataloged from PDF version of thesis report. Includes bibliographical references (page 41 - 42). Image registration is a very useful technique in the field of Image processing. It has many potential applications for shape and angle estimation. Image registration is a basically aligning two or more images into one common co-ordinate system in order to monitor subtle changes between them. The image registration algorithms rotate ortranslate the source images and determine the relative transformation with the corresponding target image. In this research we are going to reconstruct the shape of a scene/object from different images. The viewpoint of the images will be arbitrary and independent of any available data set. From set of source images we are going to combine the images using image registration techniques to find the estimated shape. We believe this research will be useful regarding the studies of shape reconstruction. Biprojit Roy Geetanjali Oishe B. Computer Science and Engineering 2017-06-15T04:37:23Z 2017-06-15T04:37:23Z 2017 2017 Thesis ID 13101207 ID 13101211 http://hdl.handle.net/10361/8244 en BRAC University thesis 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. 42 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Image registration Shape reconstruction |
| spellingShingle |
Image registration Shape reconstruction Roy, Biprojit Oishe, Geetanjali An improved image registration technique for shape reconstruction |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. |
| author2 |
Ali, Md. Haider |
| author_facet |
Ali, Md. Haider Roy, Biprojit Oishe, Geetanjali |
| format |
Thesis |
| author |
Roy, Biprojit Oishe, Geetanjali |
| author_sort |
Roy, Biprojit |
| title |
An improved image registration technique for shape reconstruction |
| title_short |
An improved image registration technique for shape reconstruction |
| title_full |
An improved image registration technique for shape reconstruction |
| title_fullStr |
An improved image registration technique for shape reconstruction |
| title_full_unstemmed |
An improved image registration technique for shape reconstruction |
| title_sort |
improved image registration technique for shape reconstruction |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/8244 |
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AT roybiprojit animprovedimageregistrationtechniqueforshapereconstruction AT oishegeetanjali animprovedimageregistrationtechniqueforshapereconstruction AT roybiprojit improvedimageregistrationtechniqueforshapereconstruction AT oishegeetanjali improvedimageregistrationtechniqueforshapereconstruction |
| _version_ |
1814309097172893696 |