IMAGE-GUIDED DEPTH MAP UPSAMPLING USING NORMALIZED CUTS-BASED SEGMENTATION AND SMOOTHNESS PRIORS

Krishnamurthy, Suraj and Ramakrishnan, Kalpathi R (2016) IMAGE-GUIDED DEPTH MAP UPSAMPLING USING NORMALIZED CUTS-BASED SEGMENTATION AND SMOOTHNESS PRIORS. In: 23rd IEEE International Conference on Image Processing (ICIP), SEP 25-28, 2016, Phoenix, AZ, pp. 554-558.

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Abstract

In this paper, we propose an image segmentation-based algorithm to perform upsampling of noisy low-resolution depth maps using information from the high-resolution color image. The depth map is initially upscaled using standard image interpolation technique, and then refined by a process based on the combination of Normalized Cuts segmentation and various smoothness priors in order to obtain a high quality high resolution depth map. Our method outperforms other existing methods when applied on both synthetic and real-world datasets.

Item Type:	Conference Proceedings
Series.:	IEEE International Conference on Image Processing ICIP
Additional Information:	Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	31 Jan 2017 05:31
Last Modified:	31 Jan 2017 05:31
URI:	http://eprints.iisc.ac.in/id/eprint/56139

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