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SCIA
2011
Springer

Combining Stereo and Time-of-Flight Images with Application to Automatic Plant Phenotyping

9 years 1 months ago
Combining Stereo and Time-of-Flight Images with Application to Automatic Plant Phenotyping
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-ofthe-art stereo methods, and demonstrate that combining stereo and ToF images gives superior results.
Yu Song, Chris A. Glasbey, Gerie W. A. M. van der
Added 17 Sep 2011
Updated 17 Sep 2011
Type Journal
Year 2011
Where SCIA
Authors Yu Song, Chris A. Glasbey, Gerie W. A. M. van der Heijden, Gerrit Polder, J. Anja Dieleman
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