Image segmentation and figure/ground organization are fundamental steps in visual perception. This paper introduces an algorithm that couples these tasks together in a single grouping framework driven by low-level image cues. By encoding both affinity and ordering preferences in a common representation and solving an Angular Embedding problem, we allow segmentation cues to influence figure/ground assignment and figure/ground cues to influence segmentation. Results are comparable to state-of-the-art automatic image segmentation systems, while additionally providing a global figure/ground ordering on regions. © 2010 Springer-Verlag.
CITATION STYLE
Maire, M. (2010). Simultaneous segmentation and figure/ground organization using angular embedding. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6312 LNCS, pp. 450–464). Springer Verlag. https://doi.org/10.1007/978-3-642-15552-9_33
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