A tool for stereoscopic parameter setting based on geometric perceived depth percentage.
  Yu-Chi Lai     Hsuan-Ting Chou     Kuo-Wei Chen     Shuen-Huei Guan     Yung-Yu Chuang  
Guan, S.-H., Lai, Y.-C., Chen, K.-W., Chou, H.-T., and Chuang, Y.-Y., “A tool for stereoscopic parameter setting based on geometric perceived depth percentage.”, IEEE Transaction on Circuits and Systems on Video Technology,  Vol. 26, Issue 2, PP 290-303, DOI 10.1109/TCSVT.2015.2407774, 2016 Submitted material web page

It is a necessary but challenging task for creative producers to have an idea how the target audience might perceive when watching a stereoscopic film in a cinema during production. This paper proposes a novel metric, geometric perceived depth percentage (GPDP), to numerate and depict the depth perception of a scene before rendering. In addition to the geometric relationship between the object depth and focal distance, GPDP takes the screen width and viewing distance into account. As a result, it provides a more intuitive mean for predicting stereoscopy and is universal across different viewing conditions. Based on GPDP, we design a practical tool to visualize the stereoscopic perception without the need of any 3D device or special environment. The tool utilizes the stereoscopic comfort volume, GPDP-based shading schemes, depth perception markers, and GPDP histograms as visual cues so that animators can set stereoscopic parameters more easily.
The tool is easily implemented into any modern rendering pipeline, including interactive Autodesk Maya and off-line Pixar's RenderMan renderer.
It has been used in several production projects including commercial ones.
Finally, two user studies show that GPDP is a proper depth perception indicator and the proposed tool can make the stereoscopic parameter setting process more easy and efficient.


author={Guan, S.-H. and Lai, Y.-C. and Chen, K.-W. and Chou, H.-T. and Chuang, Y.-Y.}, 
journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
title={A Tool for Stereoscopic Parameter Setting Based on Geometric Perceived Depth Percentage}, 



We thank Mong-Kai Lin to provide us the Maya source for study, participants of all user studies and the support of Digimax Inc. This work was also supported by NSC 103-2221-E-011-114-MY2, NSC 103-2218-E-011-014, and NSC101-2628-E-002-031-MY3, Taiwan

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