Graphcut-based interactive segmentation using colour and depth cues
Data(s) |
01/12/2010
|
---|---|
Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Relação |
http://eprints.qut.edu.au/40749/1/c40749.pdf http://www.araa.asn.au/acra/acra2010/authors.html 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. |
Direitos |
Copyright 2010 Please consult the authors. |
Fonte |
Division of Research and Commercialisation; Faculty of Built Environment and Engineering; School of Engineering Systems |
Palavras-Chave | #080104 Computer Vision #interactive segmentation #graph cuts #energy minimisation |
Tipo |
Conference Paper |