Mobile visual object recognition and search
Smart phones have changed our daily lives. With the camera equipped in smart phones, we can make them to recognize object like human beings. In this project, the student will develop algorithms and design a graphic interface for object recognition and detection using a mobile platform, for example,...
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| Format: | Final Year Project |
| Language: | English |
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2015
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| Online Access: | http://hdl.handle.net/10356/64181 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-641812023-07-07T16:08:00Z Mobile visual object recognition and search Le, Yu Yuan Junsong School of Electrical and Electronic Engineering Rapid-Rich Object Search (ROSE) Lab DRNTU::Engineering::Electrical and electronic engineering Smart phones have changed our daily lives. With the camera equipped in smart phones, we can make them to recognize object like human beings. In this project, the student will develop algorithms and design a graphic interface for object recognition and detection using a mobile platform, for example, enabling your mobile phone to recognize a logo, a book, a coach bag, etc. Then relevant information about the visual item will then be returned to the user, e.g., for a purchase. The students will have the opportunity to work with researchers and engineers from both NTU and Tencent at ROSE. Bachelor of Engineering 2015-05-25T05:21:31Z 2015-05-25T05:21:31Z 2015 Final Year Project (FYP) http://hdl.handle.net/10356/64181 en Nanyang Technological University 85 p. application/pdf |
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Asia |
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Singapore Singapore |
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English |
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DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Le, Yu Mobile visual object recognition and search |
| description |
Smart phones have changed our daily lives. With the camera equipped in smart phones, we can make them to recognize object like human beings. In this project, the student will develop algorithms and design a graphic interface for object recognition and detection using a mobile platform, for example, enabling your mobile phone to recognize a logo, a book, a coach bag, etc. Then relevant information about the visual item will then be returned to the user, e.g., for a purchase. The students will have the opportunity to work with researchers and engineers from both NTU and Tencent at ROSE. |
| author2 |
Yuan Junsong |
| author_facet |
Yuan Junsong Le, Yu |
| format |
Final Year Project |
| author |
Le, Yu |
| author_sort |
Le, Yu |
| title |
Mobile visual object recognition and search |
| title_short |
Mobile visual object recognition and search |
| title_full |
Mobile visual object recognition and search |
| title_fullStr |
Mobile visual object recognition and search |
| title_full_unstemmed |
Mobile visual object recognition and search |
| title_sort |
mobile visual object recognition and search |
| publishDate |
2015 |
| url |
http://hdl.handle.net/10356/64181 |
| _version_ |
1772827431861747712 |