3D Reconstruction from Two Views
نویسندگان
چکیده
In this project, we study a method to reconstruct a 3D scene from two views. First, we extract and match SIFT keypoints from two images, based on which we compute the fundamental matrix that relates the two images. Then we derive the camera matrices and reconstruct the 3D scene. To achieve better visual effects, we interpolate between the sparse 3D points. In order to do that, we first pick a point in one 2D image and find out the according matching point in another 2D image by searching along the epipolar line. Then the interpolation can be applied in each of the object's planes. Our results show a good 3D reconstruction from several viewpoints.
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