Weighted Joint Bilateral Filter with Slope Depth Compensation Filter for Depth Map Refinement

Takuya Matsuo, Norishige Fukushima, Yutaka Ishibashi

2013

Abstract

In this paper, we propose a new refinement filter for depth maps. The filter convolutes a depth map by a jointly computed kernel on a natural image with a weight map. We call the filter weighted joint bilateral filter. The filter fits an outline of an object in the depth map to the outline of the object in the natural image, and it reduces noises. An additional filter of slope depth compensation filter removes blur across object boundary. The filter set’s computational cost is low and is independent of depth ranges. Thus we can refine depth maps to generate accurate depth map with lower cost. In addition, we can apply the filters for various types of depth map, such as computed by simple block matching, Markov random field based optimization, and Depth sensors. Experimental results show that the proposed filter has the best performance of improvement of depth map accuracy, and the proposed filter can perform real-time refinement.

Paper Citation

in Harvard Style

Matsuo T., Fukushima N. and Ishibashi Y. (2013). Weighted Joint Bilateral Filter with Slope Depth Compensation Filter for Depth Map Refinement . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 300-309. DOI: 10.5220/0004292203000309

in Bibtex Style

@conference{visapp13,
author={Takuya Matsuo and Norishige Fukushima and Yutaka Ishibashi},
title={Weighted Joint Bilateral Filter with Slope Depth Compensation Filter for Depth Map Refinement},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={300-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004292203000309},
isbn={978-989-8565-48-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Weighted Joint Bilateral Filter with Slope Depth Compensation Filter for Depth Map Refinement
SN - 978-989-8565-48-8
AU - Matsuo T.
AU - Fukushima N.
AU - Ishibashi Y.
PY - 2013
SP - 300
EP - 309
DO - 10.5220/0004292203000309