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Image segmentation has long been a basic problem in computer vision.Depth-wise Layering is a kind of segmentation that slices an image in adepth-wise sequence unlike the conventional image segmentation problems dealingwith surface-wise decomposition. The proposed Depth-wise Layering techniqueuses a single depth image of a static scene to slice it into multiple layers.The technique employs a thresholding approach to segment rows of the densedepth map into smaller partitions called Line-Segments in this paper. Then, ituses the line-segment labelling method to identify number of objects and layersof the scene independently. The final stage is to link objects of the scene totheir respective object-layers. We evaluate the efficiency of the proposedtechnique by applying that on many images along with their dense depth maps.The experiments have shown promising results of layering.

Depth-wise layering of 3d images using dense depth maps: a threshold based approach