DocumentCode :
3466886
Title :
Depth Interpolation via Smooth Surface Segmentation Using Tangent Planes Based on the Superpixels of a Color Image
Author :
Matsuo, Kenshi ; Aoki, Yuya
Author_Institution :
Dept. of Integrated Design Eng., Keio Univ., Yokohama, Japan
fYear :
2013
fDate :
2-8 Dec. 2013
Firstpage :
29
Lastpage :
36
Abstract :
This paper describes a method for accurately interpolating a low-resolution depth image using a high-resolution color image. In our method, first, tangent planes on each super pixel are estimated from the sparse depth information and dense color information. Then, the neighboring super pixels that have smooth-connectable tangent planes are connected, and the image segmentation to smooth surfaces are achieved. Finally, the low-resolution depth image is interpolated using this smooth surface segmentation. In experiments with images from the Middlebury stereo datasets, our method interpolates each image at a high rate, and achieves the lowest error when compared to existing techniques.
Keywords :
image colour analysis; image resolution; image segmentation; interpolation; Middlebury stereo datasets; dense color information; depth interpolation; high resolution color image; image segmentation; low resolution depth image; smooth connectable tangent planes; smooth surface segmentation; sparse depth information; superpixels; Color; Image color analysis; Image segmentation; Interpolation; Shape; Surface treatment; Vectors; Depth image interpolation; Image segmentation; Superpixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/ICCVW.2013.11
Filename :
6755876
Link To Document :
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