3D reconstruction from uncalibrated images
نویسندگان
چکیده
This thesis will show in theory and in practice how to implement a 3D reconstruction algorithm. It is possible, using only images as input and allowing general camera motion and varying camera parameters, to reconstruct a scene up to an unknown scale factor. Feature extraction and matching, epipolar configuration (fundamental matrix), projective reconstruction and self-calibration are the main topics, stressing self-calibration. We discovered that the method for self-calibration we have implemented (see [5]), is not robust enough for real images. However, we will present results for synthetic images, where the algorithm performs well. We will also briefly discuss other methods for image based modeling and rendering.
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