Segmentation-Based Depth Propagation in Videos

By Nicole Brosch, Christoph Rhemann, and Margrit Gelautz

Abstract

In this paper we propose a simple yet effective approach to convert existing 2D video content into 3D. We present a new semi-automatic algorithm that propagates sparse user-provided depth information over the whole monocular video sequence. The advantage of our algorithm over previous work comes from the use of spatio-temporal video segmentation techniques. The segmentation preserves depth discontinuities, which is challenging for previous approaches. A subsequent refinement step enables smooth depth changes over time and yields the final depth map. Quantitative evaluations show that the proposed algorithm is able to produce good quality and temporal-coherent 3D videos.

Reference

N. Brosch, C. Rhemann, M. Gelautz: "Segmentation-Based Depth Propagation in Videos"; Talk: ÖAGM / AAPR Workshop 2011, Graz; 05-26-2011 - 05-27-2011; in: "Proceedings of the ÖAGM/AAPR Workshop 2011", (2011).

Additional Information

2D to 3D Conversion Result:

BibTeX

@inproceedings{TUW-201438, author = {Brosch, Nicole and Rhemann, Christoph and Gelautz, Margrit}, title = {Segmentation-Based Depth Propagation in Videos}, booktitle = {Proceedings of the {\"O}AGM/AAPR Workshop 2011}, year = {2011}, url = {http://publik.tuwien.ac.at/files/PubDat_201438.pdf}, keywords = {2D to 3D conversion, segmentation, propagation}, note = {Vortrag: {\"O}AGM / AAPR Workshop 2011, Graz; 2011-05-26 -- 2011-05-27} } Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.