Contour completion without region segmentation
Contour completion plays an important role in visual perception, where the goal is to group fragmented low-level edge elements into perceptually coherent and salient contours. Most existing methods for contour completion have focused on pixelwise detection accuracy. In contrast, fewer methods have addressed the global contour closure effect, despite psychological evidences for its importance. This paper proposes a purely contour-based higher order CRF model to achieve contour closure, through...[Show more]
|Collections||ANU Research Publications|
|Source:||IEEE transactions on image processing : a publication of the IEEE Signal Processing Society|
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