Depth interpolation via segmentation defined from smooth junctions of color geodesic neighborhoods

Kiyoshi Matsuo; Yoshimitsu Aoki

Depth interpolation via segmentation defined from smooth junctions of color geodesic neighborhoods

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper describes an iterative procedure of accurate depth interpolation for a low-resolution depth image using a high-resolution color image. In our procedure, depth interpolation is gradually achieved with generating smooth junctions of similar color regions. These junctions give the segmentation of the interpolated region and we use this information to interpolate depth value on each segment, and to promote the generation of junctions additionally. In experiments with images of the Middlebury stereo datasets, our procedure interpolates each image at a high rate, and achieves the low error compared with previous methods.

Original language	English
Pages	2116-2121
Number of pages	6
Publication status	Published - 2013 Jan 1
Event	2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, Japan Duration: 2013 Sept 14 → 2013 Sept 17

Other

Other	2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013
Country/Territory	Japan
City	Nagoya
Period	13/9/14 → 13/9/17

Keywords

Depth image interpolation
Geodesic distance

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

Cite this

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title = "Depth interpolation via segmentation defined from smooth junctions of color geodesic neighborhoods",

abstract = "This paper describes an iterative procedure of accurate depth interpolation for a low-resolution depth image using a high-resolution color image. In our procedure, depth interpolation is gradually achieved with generating smooth junctions of similar color regions. These junctions give the segmentation of the interpolated region and we use this information to interpolate depth value on each segment, and to promote the generation of junctions additionally. In experiments with images of the Middlebury stereo datasets, our procedure interpolates each image at a high rate, and achieves the low error compared with previous methods.",

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author = "Kiyoshi Matsuo and Yoshimitsu Aoki",

year = "2013",

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AU - Aoki, Yoshimitsu

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N2 - This paper describes an iterative procedure of accurate depth interpolation for a low-resolution depth image using a high-resolution color image. In our procedure, depth interpolation is gradually achieved with generating smooth junctions of similar color regions. These junctions give the segmentation of the interpolated region and we use this information to interpolate depth value on each segment, and to promote the generation of junctions additionally. In experiments with images of the Middlebury stereo datasets, our procedure interpolates each image at a high rate, and achieves the low error compared with previous methods.

AB - This paper describes an iterative procedure of accurate depth interpolation for a low-resolution depth image using a high-resolution color image. In our procedure, depth interpolation is gradually achieved with generating smooth junctions of similar color regions. These junctions give the segmentation of the interpolated region and we use this information to interpolate depth value on each segment, and to promote the generation of junctions additionally. In experiments with images of the Middlebury stereo datasets, our procedure interpolates each image at a high rate, and achieves the low error compared with previous methods.

KW - Depth image interpolation

KW - Geodesic distance

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Y2 - 14 September 2013 through 17 September 2013

ER -

Depth interpolation via segmentation defined from smooth junctions of color geodesic neighborhoods

Abstract

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Keywords

ASJC Scopus subject areas

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