Convert 2D Images to 3D Image

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dc.contributor.authorMenikdiwela, M. P.
dc.contributor.authorEkanayake, Thushara
dc.date.accessioned2021-02-11T03:54:19Z
dc.date.available2021-02-11T03:54:19Z
dc.date.issued2012
dc.description.abstractImage processing gives a major contribution to the modern technology such as robot navigation, medicine, video games, three dimensional televisions etc. And also there are some places we cannot ever reach those places, which are war areas, space, deep sea etc. But we can get satellite images. Those images can be processed by image processing techniques. Therefore, recently image processing is a widely developing part of the technology. The 3D view means third dimension of depth which can be perceived by the human vision in the form of binocular inequality. Human eyes are located at slightly different positions which can observe different views of the real world. The brain is then able to reconstruct the depth information from these different views. A 3D display takes advantage of this phenomenon, creating two slightly different images of every scene and then displaying them to the individual eyes. With an appropriate disparity and calibration of parameters, a correct 3D perception can be identified 2D to 3D conversion is also an important step in image processing. By the support of MatlabOD software, it is possible to develop algorithms for 2D to 3D image conversion. MatlabĀ® is one of the major software in image processing, because it has its own programming language. Whole algorithm is run by the concept of stereovision. With two images of the same scene captured from the slightly different views and get the 3D view is identified as stereovision. Binocular stereo vision uses only two images.en_US
dc.identifier.issn2235-9877
dc.identifier.urihttp://www.erepo.lib.uwu.ac.lk/bitstream/handle/123456789/5964/443-Convert%202D%20Images%20to%203D%20Image.pdf?sequence=1&isAllowed=y
dc.language.isoenen_US
dc.publisherUva Wellassa University of Sri Lankaen_US
dc.relation.ispartofseries;Research Symposium
dc.subjectScience and technologyen_US
dc.subjectInformation Scienceen_US
dc.subjectComputer Scienceen_US
dc.titleConvert 2D Images to 3D Imageen_US
dc.title.alternativeResearch Symposium 2012en_US
dc.typeOtheren_US
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