CUMULI, PANORAMA, and VANGUARD Project Overview

This overview summarizes the goals of the European projects Cumuli, Panorama, and Vanguard and references the various contributions in this volume. There are several overlaps between the projects which all evolve around the geometric analysis of scenes from multiple images. All projects attempt to reconstruct the geometry and visual appearance of complex 3D scenes that may be static or dynamic.

[1]  Takeo Kanade,et al.  Affine structure from line correspondences with uncalibrated affine cameras , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Wolfgang Niem,et al.  MAPPING TEXTURE FROM MULTIPLE CAMERA VIEWS ONTO 3D-OBJECT MODELS FOR COMPUTER ANIMATION , 1995 .

[3]  Lutz Falkenhagen Hierarchical Block-Based Disparity Estimation Considering Neighbourhood Constraints , 1997 .

[4]  Bill Triggs,et al.  Autocalibration from Planar Scenes , 1998, ECCV.

[5]  Bill Triggs,et al.  Linear projective reconstruction from matching tensors , 1997, Image Vis. Comput..

[6]  Peter F. Sturm Vision 3D non calibrée : contributions à la reconstruction projective et étude des mouvements critiques pour l'auto-calibrage. (Uncalibrated 3D Vision: Contributions to Projective Reconstruction and Study of the Critical Motions for Self-Calibration) , 1997 .

[7]  Federico Pedersini,et al.  3D shape initialization of objects in multiview image sequences , 1998, Electronic Imaging.

[8]  Augusto Sarti,et al.  Calibration and self-calibration of multi-ocular camera systems , 1997 .

[9]  A. Heyden,et al.  Euclidean reconstruction from constant intrinsic parameters , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[10]  Amnon Shashua,et al.  Novel view synthesis in tensor space , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[11]  Gunnar Sparr,et al.  Simultaneous reconstruction of scene structure and camera locations from uncalibrated image sequences , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[12]  Reinhard Koch,et al.  Dynamic 3-D Scene Analysis Through Synthesis Feedback Control , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Fredrik Kahl,et al.  Motion Estimation in Image Sequences Using the Deformation of Apparent Contours , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Andrew W. Fitzgibbon,et al.  Maintaining multiple motion model hypotheses over many views to recover matching and structure , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[15]  Shmuel Peleg,et al.  Universal mosaicing using pipe projection , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[16]  Anders Heyden,et al.  Euclidean reconstruction from image sequences with varying and unknown focal length and principal point , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[17]  Reinhard Koch,et al.  Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[18]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[19]  Bill Triggs,et al.  Autocalibration and the absolute quadric , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.