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Graphcut-based interactive segmentation using colour and depth cues

He, Hu, McKinnon, David, Warren, Michael, & Upcroft, Ben (2010) Graphcut-based interactive segmentation using colour and depth cues. In Australasian Conference on Robotics and Automation (ACRA 2010), 1-3 December 2010, Queensland University of Technology, Brisbane.

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    Abstract

    Segmentation of novel or dynamic objects in a scene, often referred to as background sub- traction or foreground segmentation, is critical for robust high level computer vision applica- tions such as object tracking, object classifca- tion and recognition. However, automatic real- time segmentation for robotics still poses chal- lenges including global illumination changes, shadows, inter-re ections, colour similarity of foreground to background, and cluttered back- grounds. This paper introduces depth cues provided by structure from motion (SFM) for interactive segmentation to alleviate some of these challenges. In this paper, two prevailing interactive segmentation algorithms are com- pared; Lazysnapping [Li et al., 2004] and Grab- cut [Rother et al., 2004], both based on graph- cut optimisation [Boykov and Jolly, 2001]. The algorithms are extended to include depth cues rather than colour only as in the original pa- pers. Results show interactive segmentation based on colour and depth cues enhances the performance of segmentation with a lower er- ror with respect to ground truth.

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    ID Code: 40749
    Item Type: Conference Paper
    Additional URLs:
    Keywords: interactive segmentation, graph cuts, energy minimisation
    ISBN: 9780980740417
    Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
    Divisions: Current > QUT Faculties and Divisions > Division of Research and Commercialisation
    Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
    Past > Schools > School of Engineering Systems
    Copyright Owner: Copyright 2010 Please consult the authors.
    Deposited On: 15 Mar 2011 12:16
    Last Modified: 01 Mar 2012 00:33

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