Document details for 'Combining stereo and Time-of-Flight images with application to automatic plant phenotyping'

Authors Song, Y., Glasbey, C.A., van der Heijden, G.W.A.M., Polder, G. and Dieleman, A.
Publication details In "Proceedings of the 17th Scandinavian Conference on Image Analysis (SCIA 2011)", 467-478. Eds. Heyden, Anders and Kahl, Fredrik. Springer Verlag, Berlin.
Publisher details Springer Verlag, Berlin
Abstract This paper shows how stereo and Time-of-Flight (ToF) images can be combined to estimate dense depth maps in order to automate plant phenotyping. We focus on some challenging plant images captured in a glasshouse environment, and show that even the state-of-the-art stereo methods produce unsatisfactory results. By developing a geometric approach which transforms depth information in a ToF image to a localised search range for dense stereo, a global optimisation strategy is adopted for producing smooth and discontinuity-preserving results. Since pixel-by-pixel depth data are unavailable for our images and many other applications, a quantitative method accounting for the surface smoothness and the edge sharpness to evaluate estimation results is proposed. We compare our method with and without ToF against other state-of-the-art stereo methods, and demonstrate that combining stereo and ToF images gives superior results.
ISBN 9783642212260
Last updated 2012-08-03
Links
  1. Oral Presentation
    http://www.bioss.ac.uk/staff/yu/tof/song-scia11-ppt.pdf
  2. DOI link (published version)
    http://dx.doi.org/10.1007/978-3-642-21227-7_44
  3. Additional results
    http://www.bioss.ac.uk/staff/yu/tof/
  4. PDF
    http://www.bioss.ac.uk/staff/yu/tof/song-scia11.pdf

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