Depth-wise segmentation of 3D images using dense depth maps

Mirkamali, S. and Nagabhushan, P. (2013) Depth-wise segmentation of 3D images using dense depth maps. In: The Era of Interactive Media. Springer New York, New York. ISBN 978-1-4614-3501-3

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Official URL: https://doi.org/10.1007/978-1-4614-3501-3_47

Abstract

Unlike the conventional image segmentation problems dealing with surface-wise decomposition, the depth-wise segmentation is a problem of slicing an image containing 3D objects in a depth-wise sequence. The proposed depth-wise segmentation technique uses depth map of a 3D image to slice it into multiple layers. This technique can be used to improve viewing comfort with 3D displays, to compress videos and to interpolate intermediate views. The technique initially finds the edges of the dense depth map using a graduate edge detection algorithm. Then, it uses the detected edges to divide rows of a depth map into line-segments based on their entropy values. Finally, it links the line-segments to make object-layers. The experiments done through depth-wise segmentation technique have shown promising results.

Item Type: Book Section
Uncontrolled Keywords: 3-D image, Dense depth map, Depth Map, Edge detection, Edge detection algorithms, Entropy, Image segmentation, Intermediate view, Mean shift, Multiple layers, Segmentation techniques
Subjects: D Physical Science > Computer Science
Divisions: Department of > Computer Science
Depositing User: Arshiya Kousar
Date Deposited: 23 Oct 2019 05:43
Last Modified: 23 Oct 2019 05:43
URI: http://eprints.uni-mysore.ac.in/id/eprint/9108

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