3D image extraction from 2D aerial image
A 2D image can be thought of as a surface in 3D, with the third dimension being the gray-level intensity at each image point. The image appears as a mountainous landscape, with each structure in the image represented as a series of mountains and valley. This method usually used in order to model the...
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2000
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| Online Access: | http://eprints.utm.my/10986/1/DautDaman2000_3DImageExtractionFrom2DAerialImage.pdf http://eprints.utm.my/10986/ |
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| _version_ | 1845472502251257856 |
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| author | Daman, Daut Nik Ismail, Nik Isrozaidi |
| author_facet | Daman, Daut Nik Ismail, Nik Isrozaidi |
| author_sort | Daman, Daut |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | A 2D image can be thought of as a surface in 3D, with the third dimension being the gray-level intensity at each image point. The image appears as a mountainous landscape, with each structure in the image represented as a series of mountains and valley. This method usually used in order to model the object in 3D-game and object surface. We tried to use this method to calculate the z-coordinate of each pixel in an aerial image. In this paper we purposed a solution to the problem of calculating the 2coordinate of each pixel in an aerial image according to gray-level intensity at each image point. |
| format | Conference or Workshop Item |
| id | my.utm.eprints-10986 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2000 |
| record_format | eprints |
| spelling | my.utm.eprints-109862010-11-16T05:19:55Z http://eprints.utm.my/10986/ 3D image extraction from 2D aerial image Daman, Daut Nik Ismail, Nik Isrozaidi QA75 Electronic computers. Computer science A 2D image can be thought of as a surface in 3D, with the third dimension being the gray-level intensity at each image point. The image appears as a mountainous landscape, with each structure in the image represented as a series of mountains and valley. This method usually used in order to model the object in 3D-game and object surface. We tried to use this method to calculate the z-coordinate of each pixel in an aerial image. In this paper we purposed a solution to the problem of calculating the 2coordinate of each pixel in an aerial image according to gray-level intensity at each image point. 2000-11 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/10986/1/DautDaman2000_3DImageExtractionFrom2DAerialImage.pdf Daman, Daut and Nik Ismail, Nik Isrozaidi (2000) 3D image extraction from 2D aerial image. In: National Conference on Telecommunication Technology 2000, 20th - 21st Nov. 2000, Hyatt Regency Hotel, Johor Bahru. |
| spellingShingle | QA75 Electronic computers. Computer science Daman, Daut Nik Ismail, Nik Isrozaidi 3D image extraction from 2D aerial image |
| title | 3D image extraction from 2D aerial image |
| title_full | 3D image extraction from 2D aerial image |
| title_fullStr | 3D image extraction from 2D aerial image |
| title_full_unstemmed | 3D image extraction from 2D aerial image |
| title_short | 3D image extraction from 2D aerial image |
| title_sort | 3d image extraction from 2d aerial image |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/10986/1/DautDaman2000_3DImageExtractionFrom2DAerialImage.pdf http://eprints.utm.my/10986/ |
| url_provider | http://eprints.utm.my/ |