article

Multiview radial catadioptric imaging for scene capture

Authors:

Sujit Kuthirummal,

Shree K. NayarAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 25, Issue 3

Pages 916 - 923

https://doi.org/10.1145/1141911.1141975

Published: 01 July 2006 Publication History

Abstract

In this paper, we present a class of imaging systems, called radial imaging systems, that capture a scene from a large number of view-points within a single image, using a camera and a curved mirror. These systems can recover scene properties such as geometry, reflectance, and texture. We derive analytic expressions that describe the properties of a complete family of radial imaging systems, including their loci of viewpoints, fields of view, and resolution characteristics. We have built radial imaging systems that, from a single image, recover the frontal 3D structure of an object, generate the complete texture map of a convex object, and estimate the parameters of an analytic BRDF model for an isotropic material. In addition, one of our systems can recover the complete geometry of a convex object by capturing only two images. These results show that radial imaging systems are simple, effective, and convenient devices for a wide range of applications in computer graphics and computer vision.

Supplementary Material

JPG File (p916-kuthirummal-high.jpg)

Download
6.14 KB

JPG File (p916-kuthirummal-low.jpg)

Download
5.47 KB

High Resolution (p916-kuthirummal-high.mov)

Download
35.98 MB

Low Resolution (p916-kuthirummal-low.mov)

Download
14.52 MB

References

[1]

Dana, K. J. 2001. BRDF/BTF Measurement Device. In Proc. of ICCV, 460--466.

[2]

Davidhazy, A. 1987. Peripheral Photography: Shooting full circle. Industrial Photography 36, 28--31.

[3]

Efros, A. A., and Freeman, W. T. 2001. Image Quilting for Texture Synthesis and Transfer. In Proc. of SIGGRAPH, 341--346.

Digital Library

[4]

Efros, A. A., and Leung, T. K. 1999. Texture Synthesis by Non-parametric Sampling. In Proc. of ICCV, 1033--1038.

Digital Library

[5]

Gluckman, J., and Nayar, S. K. 1999. Planar Catadioptric Stereo: Geometry and Calibration. In Proc. of CVPR, 1022--1028.

[6]

Gluckman, J., Thorek, K., and Nayar, S. K. 1998. Real time panoramic stereo. In Proc. of Image Understanding Workshop.

[7]

Gortler, S., Grzeszczuk, R., Szeliski, R., and Cohen, M. 1996. The Lumigraph. In Proc. SIGGRAPH, 43--54.

Digital Library

[8]

Han, J. Y., and Perlin, K. 2003. Measuring bidirectional texture reflectance with a kaleidoscope. In Proc. of SIGGRAPH, 741--748.

Digital Library

[9]

Hawkins, T., Einarsson, P., and Debevec, P. 2005. Acquisition of time-varying participating media. In Proc. of SIGGRAPH, 812--815.

Digital Library

[10]

Kanade, T., Yoshida, A., Oda, K., Kano, H., and Tanaka, M. 1996. A Stereo Machine for Video-rate Dense Depth Mapping and its New Applications. In Proc. of CVPR, 196--202.

Digital Library

[11]

Kanade, T., Rander, P., and Narayanan, P. 1997. Virtualized Reality: Constructing Virtual Worlds from Real Scenes. In IEEE Multimedia, 34--47.

Digital Library

[12]

Kwatra, V., Schdl, A., Essa, I., Turk, G., and Bobick, A. 2003. Graphcut Textures: Image and Video Synthesis Using Graph Cuts. In Proc. of SIGGRAPH, 277--286.

Digital Library

[13]

Levoy, M., and Hanrahan, P. 1996. Light Field Rendering. In Proc. of SIGGRAPH, 31--42.

Digital Library

[14]

Levoy, M., Chen, B., Vaish, V., Horowitz, M., Mcdowall, I., and Bolas, M. 2004. Synthetic aperture confocal imaging. In Proc. of SIGGRAPH, 825--834.

Digital Library

[15]

Lin, S.-S., and Bajcsy, R. 2003. High Resolution Catadioptric Omni-Directional Stereo Sensor for Robot Vision. In Proc. of ICRA, 1694--1699.

[16]

Liu, X., Yu, Y., and Shum, H.-Y. 2001. Synthesizing Bidirectional Texture Functions for Real-World Surfaces. In Proc. of SIGGRAPH, 97--106.

Digital Library

[17]

Nene, S., and Nayar, S. K. 1998. Stereo with Mirrors. In Proc. of ICCV, 1087--1094.

Digital Library

[18]

Peleg, S., and Herman, J. 1997. Panoramic Mosaics by Manifold Projection. In Proc. of CVPR, 338--343.

Digital Library

[19]

Scharstein, D., and Szeliski, R. 2002. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms. IJCV 47, 7--42.

Digital Library

[20]

Seitz, S. M., and Kim, J. 2002. The Space of All Stereo Images. IJCV 48, 21--38.

Digital Library

[21]

Shum, H.-Y., and He, L.-W. 1999. Rendering with Concentric Mosaics. In Proc. of SIGGRAPH, 299 -- 306.

Digital Library

[22]

Southwell, D., Basu, A., Fiala, M., and Reyda, J. 1996. Panoramic Stereo. In Proc. of ICPR, 378--382.

Digital Library

[23]

Unger, J., Wenger, A., Hawkins, T., Gardner, A., and Debevec, P. 2003. Capturing and Rendering with Incident Light Fields. In Proc. of EGSR, 141--149.

Digital Library

[24]

Ward, G. J. 1992. Measuring and Modeling Anisotropic Reflection. In Proc. of SIGGRAPH, 265--272.

Digital Library

Cited By

Matsuyama KKonno KThalmann NGavrilova MKomura TCordier FThalmann D(2016)A Framework for Manipulating Multi-Perspective Image Using A Parametric SurfaceProceedings of the 29th International Conference on Computer Animation and Social Agents10.1145/2915926.2915946(181-188)Online publication date: 23-May-2016
https://dl.acm.org/doi/10.1145/2915926.2915946
Dana K(2016)Capturing Computational Appearance: More than meets the eyeIEEE Signal Processing Magazine10.1109/MSP.2016.258017933:5(70-80)Online publication date: Sep-2016
https://doi.org/10.1109/MSP.2016.2580179
Krig SKrig S(2016)Ground Truth Data, Content, Metrics, and AnalysisComputer Vision Metrics10.1007/978-3-319-33762-3_7(247-271)Online publication date: 17-Sep-2016
https://doi.org/10.1007/978-3-319-33762-3_7
Show More Cited By

Index Terms

Multiview radial catadioptric imaging for scene capture
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition

Recommendations

Multiview radial catadioptric imaging for scene capture
SIGGRAPH '06: ACM SIGGRAPH 2006 Papers

In this paper, we present a class of imaging systems, called radial imaging systems, that capture a scene from a large number of view-points within a single image, using a camera and a curved mirror. These systems can recover scene properties such as ...
Geometric and Color Calibration of Multiview Panoramic Cameras for Life-Size 3D Immersive Video
3DV '13: Proceedings of the 2013 International Conference on 3D Vision

In this paper we address calibration of camera arrays for life-size 3D video acquisition and display where mosaicking and multiviewpoint stereo are combined to provide an immersive experience which, by its size, resolution, and three-dimensionality, is ...
Manhattan Scene Understanding via XSlit Imaging
CVPR '13: Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition

A Manhattan World (MW) is composed of planar surfaces and parallel lines aligned with three mutually orthogonal principal axes. Traditional MW understanding algorithms rely on geometry priors such as the vanishing points and reference (ground) planes ...

Comments

Information & Contributors

Information

Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 25, Issue 3

July 2006

742 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/1141911

Issue’s Table of Contents

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2006

Published in TOG Volume 25, Issue 3

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

32
Total Citations
View Citations
1,131
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)1

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Matsuyama KKonno KThalmann NGavrilova MKomura TCordier FThalmann D(2016)A Framework for Manipulating Multi-Perspective Image Using A Parametric SurfaceProceedings of the 29th International Conference on Computer Animation and Social Agents10.1145/2915926.2915946(181-188)Online publication date: 23-May-2016
https://dl.acm.org/doi/10.1145/2915926.2915946
Dana K(2016)Capturing Computational Appearance: More than meets the eyeIEEE Signal Processing Magazine10.1109/MSP.2016.258017933:5(70-80)Online publication date: Sep-2016
https://doi.org/10.1109/MSP.2016.2580179
Krig SKrig S(2016)Ground Truth Data, Content, Metrics, and AnalysisComputer Vision Metrics10.1007/978-3-319-33762-3_7(247-271)Online publication date: 17-Sep-2016
https://doi.org/10.1007/978-3-319-33762-3_7
Krig SKrig S(2016)Taxonomy of Feature Description AttributesComputer Vision Metrics10.1007/978-3-319-33762-3_5(167-186)Online publication date: 17-Sep-2016
https://doi.org/10.1007/978-3-319-33762-3_5
Krig SKrig S(2016)Feature Learning and Deep Learning Architecture SurveyComputer Vision Metrics10.1007/978-3-319-33762-3_10(375-514)Online publication date: 17-Sep-2016
https://doi.org/10.1007/978-3-319-33762-3_10
López-Nicolás GSagüés C(2014)Unitary torus model for conical mirror based catadioptric systemComputer Vision and Image Understanding10.5555/3030638.3030865126:C(67-79)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.5555/3030638.3030865
Karamata BAndersen M(2014)Origin and nature of measurement bias in catadioptric parallel goniophotometersJournal of the Optical Society of America A10.1364/JOSAA.31.00104031:5(1040)Online publication date: 11-Apr-2014
https://doi.org/10.1364/JOSAA.31.001040
López-Nicolás GSagüés C(2014)Unitary torus model for conical mirror based catadioptric systemComputer Vision and Image Understanding10.1016/j.cviu.2014.06.008126(67-79)Online publication date: Sep-2014
https://doi.org/10.1016/j.cviu.2014.06.008
Reshetouski IManakov ABandhari ARaskar RSeidel HIhrke I(2013)Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single PointProceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition10.1109/CVPR.2013.19(89-96)Online publication date: 23-Jun-2013
https://dl.acm.org/doi/10.1109/CVPR.2013.19
Zuo CLiu YLi HLiu JZhang M(2013)Radial stereo imaging system for three-dimensional reconstructionOptik10.1016/j.ijleo.2013.05.072124:24(6700-6706)Online publication date: Dec-2013
https://doi.org/10.1016/j.ijleo.2013.05.072
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Issue’s Table of Contents