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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, vol. 1, pp. 666--673, 2000.

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Euclidean Reconstruction and Auto-Calibration from Continuous.. - Kahl, Heyden (2001)   (2 citations)  (Correct)

....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.


An Integrated Approach for Segmentation and Estimation of.. - Alon, Sclaroff (2000)   (1 citation)  (Correct)

....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.


An Integrated Approach for Segmentation and Estimation of.. - Alon, Sclaroff (2000)   (1 citation)  (Correct)

....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.


A Statistical Geometric Framework for.. - Manessis, Hilton..   Self-citation (Manessis Hilton Palmer Mclauchlan)   (Correct)

No context found.

A. Manessis, A. Hilton, P. Palmer, P. McLauchlan, and X. Shen. Reconstruction of scene models from sparse 3d structure. In CVPR, June 2000.


Calibration for an Integrated Measurement System.. - Wang, McLauchlan, .. (2001)   Self-citation (Hilton Palmer Mclauchlan)   (Correct)

....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.


A Comparison and Evaluation of Multi-View Stereo.. - Seitz, Curless.. (2006)   (2 citations)  (Correct)

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.


Augmentation Of Sparsely Populated Point Clouds Using - Planar Intersection Oliver   (Correct)

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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.


Automatic Augmentation and Meshing of Sparse 3D Scene Structure - Oli Cooper Neill   (Correct)

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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.


Urban Environment Modelling Based on Data Fusion - Tingkai Wang The (2001)   (Correct)

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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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