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

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


Abstract:

We investigate the advantages of a stereo, multi-spectral acquisition system for material classi cation in landscape scenes. To obtain additional bands of spectral information, and to ensure a high spatial resolution, we use commodity hardware to create a stereo, multi-spectral capture system. Whilst alternative systems are either slow or impractical when considering ground-level image acquisition, our resulting system allows for fast, simple, hand-held multi-spectral image acquisition. We show that foliage classi cation using images acquired with our 6-band design compares favourably to simply using a standard RGB camera.