Multi-class Segmentation with Relative Location Prior
Multi-class image segmentation has made significant advances in recent years through the combination of local and global features. One important type of global feature is that of inter-class spatial relationships. For example, identifying "tree" pixels indicates that pixels above and to the sides are more likely to be "sky" whereas pixels below are more likely to be "grass." Incorporating such global information across the entire image and between all classes is a computational challenge as it...[Show more]
|Collections||ANU Research Publications|
|Source:||International Journal of Computer Vision|
|01_Gould_Multi-class_Segmentation_with_2008.pdf||1.36 MB||Adobe PDF||Request a copy|
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