Mobile visual product search services
Due to the rapid development of technology, mobiles phone are considered to be an important gadget in everyone’s daily life and lifestyle. Nowadays, people using mobile phone to communicate with each other, playing games, search information in the internet, capture images and engage in social media...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/10356/68391 |
| _version_ | 1824456585505669120 |
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| author | Winata, Kaisarudin |
| author2 | Yap Kim Hui |
| author_facet | Yap Kim Hui Winata, Kaisarudin |
| author_sort | Winata, Kaisarudin |
| collection | NTU |
| description | Due to the rapid development of technology, mobiles phone are considered to be an important gadget in everyone’s daily life and lifestyle. Nowadays, people using mobile phone to communicate with each other, playing games, search information in the internet, capture images and engage in social media network. Currently, there are numerous research and software development for image recognition but only limited to none image recognition software available for wine labels images in the wine stores or online. The purpose of this project is to assist mobile phone users to retrieve information of wine labels which they are interested in by easily capture the image of the wine labels by using their mobile phones’ cameras. This project will discuss several image recognition techniques and comparison of wine labels images under different conditions. Unwanted features in the surrounding wine label images and occlusions features by the users are the limitation when capturing wine labels images which produce a noise in images matching process. Thus, the matching accuracy results will be affected. Solution for the issue mentioned above is to introduce a technique called Geometric Verification (GV) in the image processing. This method advantage is it able to increased images recognition accuracy rate up to 10%. The minus point of this technique is extended processing time during features matching process. A set of experiments was conducted for image processing with and without Geometric Verification (GV) for comparison purpose. Finally, methods to improve matching accuracy when taking wine label images and recommendation for future work development will also be introduced. |
| first_indexed | 2025-02-19T03:56:26Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/68391 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:56:26Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-10356/683912023-07-07T16:09:56Z Mobile visual product search services Winata, Kaisarudin Yap Kim Hui School of Electrical and Electronic Engineering DRNTU::Engineering Due to the rapid development of technology, mobiles phone are considered to be an important gadget in everyone’s daily life and lifestyle. Nowadays, people using mobile phone to communicate with each other, playing games, search information in the internet, capture images and engage in social media network. Currently, there are numerous research and software development for image recognition but only limited to none image recognition software available for wine labels images in the wine stores or online. The purpose of this project is to assist mobile phone users to retrieve information of wine labels which they are interested in by easily capture the image of the wine labels by using their mobile phones’ cameras. This project will discuss several image recognition techniques and comparison of wine labels images under different conditions. Unwanted features in the surrounding wine label images and occlusions features by the users are the limitation when capturing wine labels images which produce a noise in images matching process. Thus, the matching accuracy results will be affected. Solution for the issue mentioned above is to introduce a technique called Geometric Verification (GV) in the image processing. This method advantage is it able to increased images recognition accuracy rate up to 10%. The minus point of this technique is extended processing time during features matching process. A set of experiments was conducted for image processing with and without Geometric Verification (GV) for comparison purpose. Finally, methods to improve matching accuracy when taking wine label images and recommendation for future work development will also be introduced. Bachelor of Engineering 2016-05-25T08:42:32Z 2016-05-25T08:42:32Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68391 en Nanyang Technological University 53 p. application/pdf |
| spellingShingle | DRNTU::Engineering Winata, Kaisarudin Mobile visual product search services |
| title | Mobile visual product search services |
| title_full | Mobile visual product search services |
| title_fullStr | Mobile visual product search services |
| title_full_unstemmed | Mobile visual product search services |
| title_short | Mobile visual product search services |
| title_sort | mobile visual product search services |
| topic | DRNTU::Engineering |
| url | http://hdl.handle.net/10356/68391 |
| work_keys_str_mv | AT winatakaisarudin mobilevisualproductsearchservices |