By Paul Debevec (auth.), Marc Pollefeys, Luc Van Gool, Andrew Zisserman, Andrew Fitzgibbon (eds.)

This quantity includes the ?nal model of the papers initially awarded on the moment SMILE workshop 3D constitution from a number of pictures of Large-scale Environments, which used to be hung on 1-2 July 2000 along with the 6th ecu convention in desktop imaginative and prescient at Trinity collage Dublin. the topic of the workshop used to be the visible acquisition of versions of the 3D global from pictures and their program to digital and augmented fact. over the past few years large development has been made during this region. at the one hand vital new insightshavebeenobtainedresultinginmore exibilityandnewrepresentations.Onthe different hand a few innovations have come to adulthood, yielding powerful algorithms offering sturdy effects on actual snapshot facts. furthermore helping applied sciences – corresponding to electronic cameras, pcs, disk garage, and visualization units – have made issues attainable that have been infeasible quite a few years in the past. starting the workshop used to be Paul Debevec s invited presentation on image-based modeling,rendering,andlighting.Hepresentedanumberoftechniquesforusingdigital photos of genuine scenes to create 3D versions, digital digicam strikes, and lifelike computing device animations.Theremainderoftheworkshopwasdividedintothreesessions:Computation and Algorithms, visible Scene Representations, and prolonged Environments. After every one consultation there has been a panel dialogue that integrated all audio system. those panel discussions have been equipped by means of invoice Triggs, Marc Pollefeys, and Tomas Pajdla respectively, who brought the subjects and moderated the dialogue. Asubstantialpartoftheseproceedingsarethetranscriptsofthediscussionsfollowing every one paper and the total panel classes. those discussions have been of very prime quality and have been a vital part of the workshop.

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Additional info for 3D Structure from Images — SMILE 2000: Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments Dublin, Irleand, July 1–2, 2000 Revised Papers

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The left column shows the decimation thresholds with d in parts of the image size. The column ‘Frames’ shows the number of frames that are left after decimation with these thresholds. The columns ‘Time’ and ‘Mem’ indicate the running time and the maximum memory usage of the SaM algorithm. The code is not optimised for speed or low memory usage, but the data still gives an indication of how the problem grows. The number of points and lines in the reconstruction are displayed in the columns ’Points’ and ‘Lines’.

16. Some frames from David 31 32 D. Nistér Fig. 17. Some frames from Volvo Fig. 18. Some frames from Bikes Fig. 19. Some frames from Girlsstatue Fig. 20. Some frames from Swedish Breakfast Fig. 21. Some frames from Nissan Micra Discussion 1. Hans-Helmut Nagel, Universität Karlsruhe: I wonder to what extent you could use techniques in video compression to detect shot boundaries. They have the same problem if they do high compression: they want to detect shot boundaries in order to set-up their system anew.

B. Triggs. Plane + Parallax, Tensors and Factorization. In Proc. European Conference on Computer Vision, pages 522-538, 2000. jp Abstract. The computation for image mosaicing using homographies is numerically unstable and causes large image distortions if the matching points are small in number and concentrated in a small region in each image. This instability stems from the fact that actual transformations of images are usually in a small subgroup of the group of homographies. It is shown that such undesirable distortions can be removed by model selection using the geometric AIC without introducing any empirical thresholds.

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