Date

2003

Author

Mülayim, Adem Yaşar

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In this thesis, an image based three dimensional (3D) model reconstruction system is investigated and the work done for such a complete reconstruction system is presented. Calibrated images of a rigid object, acquired under a simple but controlled environment, are used to recover the 3D object geometry and the surface appereance. Based on a multi-image camera calibration method, an algorithm to define the rotation axis of a turn-table with respect to the fixed camera coordinate frame has been developed. Furthermore, this can be extended to estimate robustly the initial bounding volume of the object, which reduces the memory and processing costs in the volume intersection and carving processes. The object visual hull is obtained by volume intersection using object silhouettes. Then, the coarse object volume obtained is carved using a new algorithm based on photo-consistency that removes the disadvantages of silhouette based volume intersection method. mFinally, the concept of surface particles is adapted in order to extract a texture map that completes the object surface appereance.

Subject Keywords

Three-dimensional display systems, Three-dimensional imaging, Cameras, Image processing, Pattern recognition systems, Camera calibration, Silhouette, Volume intersection, Visual hull, Photo- consistency, Surface particles, Texture map

URI

https://hdl.handle.net/11511/13007

Collections

Graduate School of Natural and Applied Sciences, Thesis