Computer Graphics Laboratory ETH Zurich

ETH

Disparity-Aware Stereo 3D Production Tools

A. Smolic, S. Poulakos, S. Heinzle, P. Greisen, M. Lang, A. Hornung, M. Farre, N. Stefanoski, O. Wang, L. Schnyder, R. Monroy, M. Gross

Proceedings of Conference for Visual Media Production (CVMP) (London, UK, Nov 16-17, 2011), pp. 165-173

Abstract

Stereoscopic 3D (S3D) has reached wide levels of adoption in consumer and professional markets. However, production of high quality S3D content is still a difficult and expensive art. Various S3D production tools and systems have been released recently to assist high quality content creation. This paper presents a number of such algorithms, tools and systems developed at Disney Research Zurich, which all make use of disparity-aware processing.

Overview

Figure 1: Depth Script Visualization for an edited movie. It shows the disparity distribution for the frames over time. This example shows a cut of multiple scenes with different depth composition. The red pixels show the depth location of the salient objects.

Stereoscopic 3D (S3D) has reached wide levels of adoption in consumer and professional markets. However, production of high quality S3D content is still a difficult and expensive art. Various S3D production tools and systems have been released recently to assist high quality content creation. This paper presents a number of such algorithms, tools and systems developed at Disney Research Zurich, which all make use of disparity-aware processing.

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