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Other work

Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware
CAIP 2013

Gwyneth Bradbury (UCL), Kenny Mitchell (Disney research), Tim Weyrich (UCL)


We investigate the advantages of a stereo, multi-spectral acquisition system for material classi cation 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 classiffcation 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 classiffcation using acquired images compares favourably to simply using a standard camera.