Combining stereo and time-of-flight images with application to automatic plant phenotyping

Y. Song, C.A. Glasbey, G.W.A.M. van der Heijden, G. Polder, J.A. Dieleman

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

19 Citations (Scopus)

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.
Original languageEnglish
Title of host publication17th Scandinavian Conference on Image Analysis, SCIA 2011, Ystad, Sweden, 23 - 27 May, 2011
Pages467-478
Volume6688
DOIs
Publication statusPublished - 2011
Event17th Scandinavian Conference on Image Analysis, SCIA 2011, Ystad, Sweden -
Duration: 23 May 201127 May 2011

Conference

Conference17th Scandinavian Conference on Image Analysis, SCIA 2011, Ystad, Sweden
Period23/05/1127/05/11

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