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to see a 3D model Animations will be seen, e.g., in Cortona VRML Client under Windows and freewrl under Linux. |
Reconstructions of the sparse correspondences were obtained using method [1] and the dense reconstructions using methods [2], [3], and [4].
Fully automatic data processing pipeline [4]: Highly discriminative features are first detected in all images. Correspondences are then found in all image pairs by wide-baseline stereo matching and used in a scene structure and camera reconstruction step that can cope with occlusions and outliers [1]. Image pairs suitable for dense matching are automatically selected, rectified and used in dense binocular matching [2]. The dense point cloud obtained as the union of all pairwise reconstructions is fused by a local approximation using oriented geometric primitives [3]. For texturing, every primitive is mapped on the image with the best resolution.
[1] D. Martinec and T. Pajdla. 3D Reconstruction by Fitting Low-rank Matrices with Missing Data. CVPR 2005, vol. I, pp. 198-205, IEEE, San Diego, CA, USA, June 2005. (poster, presentation)
[2] J. Kostková and R. ©ára. Stratified Dense Matching for Stereopsis in Complex Scenes. In BMVC 2003: Proceedings of the 14th British Machine Vision Conference, volume 1, pages 339-348, Norwich, UK, September 2003.
[3] R. ©ára and R. Bajcsy. Fish-Scales: Representing
Fuzzy Manifolds. Proc. IEEE Conf. ICCV
'98, pp. 811-817, Bombay, India, January 1998.
[4] H. Cornelius, R. ©ára, D. Martinec, T. Pajdla,
O. Chum, J. Matas. Towards Complete
Free-Form Reconstruction of Complex
3D Scenes from an Unordered Set of Uncalibrated
Images. SMVP/ECCV 2004, vol. LNCS
3247, pp. 1-12, Prague, Czech Republic, May 2004. (presentation)