In this thesis report, an approach to use Microsoft Kinect to scan an object and providea 3D model for further processing has been proposed. The additional requiredhardware to rotate the object and fully expose it to the sensor, the drivers and SDKsused and the implemented software are discussed. It is explained how the acquireddata is stored and an efficient storage and mapping method requiring no specialhardware and memory is introduced. The solution proposed circumvents the PointCloud registration task based on the fact that the transformation from one frame tothe next is known with extremely high precision. Next, a method to merge theacquired 3D data from all over the object into a single noise-free model is proposedusing Spherical Transformation and a few experiments and their results aredemonstrated and discussed.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hh-24418 |
| Date | January 2013 |
| Creators | Manikhi, Omid, Adlkhast, Behnam |
| Publisher | Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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