2D-3D Block Matching
نویسنده
چکیده
This Master thesis deals with an approach for 2D-3D pose estimation, which relies on texture information on the surface mesh of an object model. The textured surface mesh is projected in a virtual image, and a block matching algorithm is employed to determine correspondences between midpoints of surface patches to the image data. To facilitate this purpose, the block matching algorithm needs to be modified from the standard translational model to the perspective model (2D-3D block matching). The matching results are then applied on a point based 2D-3D pose estimation algorithm to determine the pose and orientation of the 3D object with respect to the given image data. The effectiveness of this algorithm will be analyzed in detail.
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