3D recovery from 2D images
In this paper, testing of the program in development by Lee yt and Fang F to recover 3-Dimensional objects from 2-Dimensional perspective photographs. The objects are recovered via the use of vanishing points, focal lengths and cubic corners. An analysis of the program will be done to showcase its a...
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sg-ntu-dr.10356-722842023-03-04T18:41:28Z 3D recovery from 2D images Muhammad Aidil Shahril Lee Yong Tsui School of Mechanical and Aerospace Engineering DRNTU::Science In this paper, testing of the program in development by Lee yt and Fang F to recover 3-Dimensional objects from 2-Dimensional perspective photographs. The objects are recovered via the use of vanishing points, focal lengths and cubic corners. An analysis of the program will be done to showcase its ability to accurately recover the object as well as finding its dimensions. The paper will also identify and discuss the errors that are commonly found in this program. Bachelor of Engineering (Mechanical Engineering) 2017-06-01T04:53:24Z 2017-06-01T04:53:24Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72284 en Nanyang Technological University 76 p. application/pdf |
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DRNTU::Science Muhammad Aidil Shahril 3D recovery from 2D images |
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In this paper, testing of the program in development by Lee yt and Fang F to recover 3-Dimensional objects from 2-Dimensional perspective photographs. The objects are recovered via the use of vanishing points, focal lengths and cubic corners. An analysis of the program will be done to showcase its ability to accurately recover the object as well as finding its dimensions. The paper will also identify and discuss the errors that are commonly found in this program. |
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Lee Yong Tsui |
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Lee Yong Tsui Muhammad Aidil Shahril |
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Final Year Project |
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Muhammad Aidil Shahril |
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Muhammad Aidil Shahril |
title |
3D recovery from 2D images |
title_short |
3D recovery from 2D images |
title_full |
3D recovery from 2D images |
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3D recovery from 2D images |
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3D recovery from 2D images |
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3d recovery from 2d images |
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2017 |
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http://hdl.handle.net/10356/72284 |
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1759854142621220864 |