| A. Manessis, A. Hilton, P. Palmer, P. McLauchlan, and X. Shen. Reconstruction of scene models from sparse 3D structure. In CVPR, vol. 1, pp. 666--673, 2000. |
....tensors, 21, 6] 2. Upgrade to a Euclidean reconstruction, cf. 16, 22] 3. Apply bundle adjustment, as described in the next sections. 4. Find dense correspondences across the views, triangulate and texture map in order to obtain a 3D model that can be used in a graphics environment, cf. [15, 13]. 4. Modelling of Continuous Motion Let us start with the extrinsic camera parameters. The camera centres C i , i = 1; m, are supposed to follow a continuous trajectory. A reasonable model is then that the centres perform a random walk. More specifically, C i C i 1 2 N(0 3 1 ; c I 3 3 ....
A. Manessis, A. Hilton, P. Palmer, P. McLauchlan, and X. Shen. Reconstruction of scene models from sparse 3d structure. In Conf. Computer Vision and Pattern Recognition, volume 2, pages 666--671, Hilton Head SC, USA, 2000.
....incorporating new features in the formulation is equally important, and a few promising attempts [4, 12] in this direction have been made. On the other end, there is a need to merge all the structure estimates into a meaningful textured 3D model. Recent work in the areas of 3D model reconstruction [6, 11, 9] and image consistent surface triangulation [13] seem to be promising. ....
A. Manessis, A. Hilton, P. Palmer, P. McLauchlan, and X. Shen. Reconstruction of scene models from sparse 3D structure. In CVPR, II:666--671, 2000.
....incorporating new features in the formulation is equally important, and a few promising attempts [4, 12] in this direction have been made. On the other end, there is a need to merge all the structure estimates into a meaningful textured 3D model. Recent work in the areas of 3D model reconstruction [6, 11, 9] and image consistent surface triangulation [13] seem to be promising. ....
A. Manessis, A. Hilton, P. Palmer, P. McLauchlan, and X. Shen. Reconstruction of scene models from sparse 3D structure. In CVPR, II:666--671, 2000.
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A. Manessis, A. Hilton, P. Palmer, P. McLauchlan, and X. Shen. Reconstruction of scene models from sparse 3d structure. In CVPR, June 2000.
....has been introduced. Experiment results show the accuracy obtained: the error of rotation angle of the laser sensor is about 0.2 degree, and the error of depth of measured object is less than 0.01 meter. This integrated system will be used in our mobile robot environmental modelling system [7]. ....
A. Manessis, A. Hilton, P. Palmer, P. McLauchlan and X. Shen, Reconstruction of Scene Models from Sparse 3D Structure, Proc. of CVPR, Vol. 2 p 666-671, 2000.
No context found.
A. Manessis, A. Hilton, P. Palmer, P. McLauchlan, and X. Shen. Reconstruction of scene models from sparse 3D structure. In CVPR, vol. 1, pp. 666--673, 2000.
No context found.
A. Manessis, A. Hilton, P. Palmer, P. McLauchlan, and X. Shen. Reconstruction of scene models from sparse 3D structure. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 666--673, Los Alamitos, 2000. IEEE.
No context found.
A. Manessis, A. Hilton, P. Palmer, P. McLauchlan, and X. Shen. Reconstruction of scene models from sparse 3D structure. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 666--673, Los Alamitos, 2000.
No context found.
A. Manessis, A. Hilton, P. Palmer, P. Pclauchlan and X. Shen, Reconstruction of scene models from sparse 3D structure, Proc. of CVPR, Vol.2, p666-671, 2000.
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