Abstract
This paper presents a method to reconstruct a surface from images of a scene taken by an equiangular catadioptric camera. Such a camera is convenient for several reasons: it is low cost, and almost all visible parts of the scene are projected in a single image. Firstly, the camera parameters and a sparse cloud of 3d points are simultaneously estimated. Secondly, a triangulated surface is robustly estimated from the cloud. Both steps are automatic. Experiments are provided from hundreds of photographs taken by a pedestrian. In contrast to other methods working in similar experimental conditions, ours provides a manifold surface in spite of the difficult (passive and sparse) data.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cazals, F., Giesen, J.: Delaunay triangulation based surface reconstruction: ideas and algorithms. INRIA Technical Report 5394 (2004)
Curless, B., Levoy, M.: A volumetric method for building complex models from range images. In: SIGGRAPH (1996)
Faugeras, O., Le Bras-Mehlman, E., Boissonnat, J.D.: Representing stereo data with the delaunay triangulation. Artificial Intelligence, 41–47 (1990)
Hartley, R., Zisserman, A.: Multiple view geometry in computer vision. Cambridge University Press, Cambridge (2000)
Hiep, V.H., Keriven, R., Labatut, P., Pons, J.P.: Towards high-resolution large-scale multi-view stereo
Labatut, P., Pons, J.P., Keriven, R.: Efficient multi-view reconstruction of large-scale scenes using interest points, Delaunay triangulation and Graph-Cuts. In: The International Conference on Computer Vision (2007)
Lempitsky, V., Ivanov, D.: Seamless Mosaicing of Image-Based Texture Maps. In: The Conference on Computer Vision and Pattern Recognition (2007)
Lhuillier, M., Quan, L.: Match propagation for image based modeling and rendering. IEEE Trans. on Pattern Analysis and Machine Intelligence 24(8), 1140–1146 (2002)
Lhuillier, M.: Automatic scene structure and camera motion using a catadioptric system. Computer Vision and Image Understanding 109(2), 186–203 (2008)
Lhuillier, M.: A generic error model and its application to automatic 3d modeling of scenes using a catadioptric camera. International Journal of Computer Vision 91(2), 175–199 (2011)
Lorensen, W.E., Cline, H.E.: Marching cubes: a high resolution 3d surface construction algorithm. Computer Graphics 21, 163–169 (1987)
Lovi, D., Birkbeck, N., Cobzas, D., Jagersand, M.: Incremental free-space carving for real-time 3d reconstruction. In: 3DPVT 2010 (2010)
Pan, Q., Reitmayr, G., Drummond, T.: ProFORMA: probabilistic feature-based on-line rapid model acquisition. In: The British Machine Vision Conference (2009)
Pollefeys, M., Nister, D., Frahm, J.M., Akbarzadeh, A., Mordohai, P., Clipp, B., Engels, C., Gallup, D., Kim, S.J., Merell, P., Salmi, C., Sinha, S., Talton, B., Wang, L., Yang, Q., Stewenius, H., Yang, R., Welch, G., Towles, H.: Detailed real-time urban 3D reconstruction from video. International Journal of Computer Vision 78(2), 143–167 (2008)
Taubin, G.: A signal processing approach to fair surface design. In: SIGGRAPH (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yu, S., Lhuillier, M. (2011). Surface Reconstruction of Scenes Using a Catadioptric Camera. In: Gagalowicz, A., Philips, W. (eds) Computer Vision/Computer Graphics Collaboration Techniques. MIRAGE 2011. Lecture Notes in Computer Science, vol 6930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24136-9_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-24136-9_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24135-2
Online ISBN: 978-3-642-24136-9
eBook Packages: Computer ScienceComputer Science (R0)