FAU  >  Technische Fakultät  >  Informatik  >  Lehrstuhl 15 (Digital Reality)

 
[Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware]

Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware

Gwyneth A. Bradbury1,  Kenny Mitchell2,  Tim Weyrich1

1 University College London
2 Disney Research

Abstract

We investigate the advantages of a stereo, multi-spectral acquisition system for material classification in ground-level landscape images. Our novel system allows us to acquire high-resolution, multi-spectral stereo pairs using commodity photographic equipment. Given additional spectral information we obtain better classification of vegetation classes than the standard RGB case. We test the system in two modes: splitting the visible spectrum into six bands; and extending the recorded spectrum to near infra-red. Our six-band design is more practical than standard multi-spectral techniques and foliage classification using acquired images compares favourably to using a standard camera.

Citation Style:    Publication

Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware.
Gwyneth A. Bradbury, Kenny Mitchell, Tim Weyrich.
Lecture Notes in Computer Science (Proc. Conf. on Computer Analysis of Images and Patterns, CAIP), 8048, pp. 209–216, August 2013.
Gwyneth Bradbury, Kenny Mitchell, and Tim Weyrich. Multi-spectral material classification in landscape scenes using commodity hardware. Lecture Notes in Computer Science (Proc. Conf. on Computer Analysis of Images and Patterns, CAIP), 8048:209–216, August 2013.Bradbury, G., Mitchell, K., and Weyrich, T.2013. Multi-spectral material classification in landscape scenes using commodity hardware. Lecture Notes in Computer Science (Proc. Conf. on Computer Analysis of Images and Patterns, CAIP) 8048 (Aug.), 209–216.G. Bradbury, K. Mitchell, and T. Weyrich, “Multi-spectral material classification in landscape scenes using commodity hardware,” Lecture Notes in Computer Science (Proc. Conf. on Computer Analysis of Images and Patterns, CAIP), vol. 8048, pp. 209–216, Aug. 2013.

Related Publication

[Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware]
Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware.
Gwyneth A. Bradbury, Kenny Mitchell, Tim Weyrich.
Lecture Notes in Computer Science (Proc. Conf. on Computer Analysis of Images and Patterns, CAIP), 8048, pp. 209–216, August 2013.
Gwyneth Bradbury, Kenny Mitchell, and Tim Weyrich. Multi-spectral material classification in landscape scenes using commodity hardware. Lecture Notes in Computer Science (Proc. Conf. on Computer Analysis of Images and Patterns, CAIP), 8048:209–216, August 2013.Bradbury, G., Mitchell, K., and Weyrich, T.2013. Multi-spectral material classification in landscape scenes using commodity hardware. Lecture Notes in Computer Science (Proc. Conf. on Computer Analysis of Images and Patterns, CAIP) 8048 (Aug.), 209–216.G. Bradbury, K. Mitchell, and T. Weyrich, “Multi-spectral material classification in landscape scenes using commodity hardware,” Lecture Notes in Computer Science (Proc. Conf. on Computer Analysis of Images and Patterns, CAIP), vol. 8048, pp. 209–216, Aug. 2013.
[Web Page][PDF (4.0 MB)][BibTeX]
[Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware]
Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware.
Gwyneth A. Bradbury, Kenny Mitchell, Tim Weyrich.
International Conference on Computational Photography (ICCP) 2013 Posters, Cambridge, MA, 19–21 April 2013.
Gwyneth Bradbury, Kenny Mitchell, and Tim Weyrich. Multi-spectral material classification in landscape scenes using commodity hardware. InIntl. Conference on Computational Photography (ICCP) Posters, April 2013.Bradbury, G., Mitchell, K., and Weyrich, T.2013. Multi-spectral material classification in landscape scenes using commodity hardware. In Intl. Conference on Computational Photography (ICCP) Posters.G. Bradbury, K. Mitchell, and T. Weyrich, “Multi-spectral material classification in landscape scenes using commodity hardware,” in Intl. Conference on Computational Photography (ICCP) Posters, Apr. 2013.
[JPEG (6.3 MB)][Low-res JEPG (0.9 MB)][BibTeX]

Acknowledgments

This work was supported by the UCL EngD VEIV Centre for Doctoral Training.


Privacy: This page is free of cookies or any means of data collection. Copyright disclaimer: The documents contained in these pages are included to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.