A majorize-minimize approach for high-quality depth upsampling

Youngjung Kim, Sunghwan Choi, Changjae Oh, Kwanghoon Sohn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper describes a non-convex model that is carefully designed for high quality depth upsampling. Modern depth sensors such as time-of-flight cameras provide a promising depth measurement with video rate, but suffer from noise and low resolution. To tackle these limitations, we formulate an optimization problem using a robust potential function. In this formulation, a nonlocal principle established in the high-dimensional feature space is used to disambiguate the up-sampling problem. We also derive a numerical algorithm based on the majorization-minimization approach for efficient optimization. The proposed model iteratively creates a new affinity space that determines the influence of neighboring pixels by jointly considering spatial distance, appearance, and current estimates. This behavior enables one to significantly reduce annoying artifacts on a variety of range dataset, including a challenging real measurement. Extensive experiments demonstrate that the proposed model achieves competitive performance with state-of-the-art methods.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
PublisherIEEE Computer Society
Pages392-396
Number of pages5
ISBN (Electronic)9781479983391
DOIs
Publication statusPublished - 2015 Dec 9
EventIEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada
Duration: 2015 Sep 272015 Sep 30

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2015-December
ISSN (Print)1522-4880

Other

OtherIEEE International Conference on Image Processing, ICIP 2015
CountryCanada
CityQuebec City
Period15/9/2715/9/30

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Kim, Y., Choi, S., Oh, C., & Sohn, K. (2015). A majorize-minimize approach for high-quality depth upsampling. In 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings (pp. 392-396). [7350827] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2015-December). IEEE Computer Society. https://doi.org/10.1109/ICIP.2015.7350827