Visual Comfort Enhancement Algorithms for 3D Movie – according to Human Factor Analysis
Date Issued
2012
Date
2012
Author(s)
Wu, Tai-Yi
Abstract
Stereo display technique is popular for multimedia application now day. Researches and applications on stereo vision have been existed for decades. In conventional stereo theater, one watches movies with “3D Anaglyph Glasses” or “3D Polarizer”. The purpose is to make our eyes accept two different images. When our eyes watch the two images with eyes’ parallax difference, the 3D image will be constructed in our brain automatically.
Sometimes, if the 3D contents represented by conventional 3D video format are filmed without quality controlled (e.g. high definition, precise control of the shooting conditions), so they are uncomfortable possibly.
We present a complete flow of automation for tuning stereoscopic 3D content based on viewers’ comfort and preferences. 2D image disparities are computed by exhaustive block matching based estimation algorithm and dynamic programming algorithm. Human visual comfort models are applied to analyze the image disparities and guide the depth tuning (shifting/scaling) in order to generate new stereo views by DIBR with desired and comfortable depth perception. The 3D image warping equations for DIBR are introduced. In our system the shift-camera-separation setup is used, and the 3D image warping equations are simplified to a formula which implies horizontal parallax. Real-life image results are shown to demonstrate the effectiveness of our approach.
Subjects
Stereo
3D
binocular parallax
depth information
disparity estimation
depth image base rendering (DIBR)
Type
thesis
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