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.
|Title of host publication
|Proceedings - 2013 IEEE International Conference on Computer Vision Workshops, ICCVW 2013
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 2013 Jan 1
|2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013 - Sydney, NSW, Australia
Duration: 2013 Dec 1 → 2013 Dec 8
|Proceedings of the IEEE International Conference on Computer Vision
|2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013
|13/12/1 → 13/12/8
- Depth image interpolation
- Image segmentation
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition