Fully automatic 2D to 3D conversion with aid of high-level image features

Vikram Appia; Umit Batur

doi:10.1117/12.2040907

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6 March 2014 Fully automatic 2D to 3D conversion with aid of high-level image features

Vikram Appia, Umit Batur

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Proceedings Volume 9011, Stereoscopic Displays and Applications XXV; 90110W (2014) https://doi.org/10.1117/12.2040907
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

With the recent advent in 3D display technology, there is an increasing need for conversion of existing 2D content into rendered 3D views. We propose a fully automatic 2D to 3D conversion algorithm that assigns relative depth values to the various objects in a given 2D image/scene and generates two different views (stereo pair) using a Depth Image Based Rendering (DIBR) algorithm for 3D displays. The algorithm described in this paper creates a scene model for each image based on certain low-level features like texture, gradient and pixel location and estimates a pseudo depth map. Since the capture environment is unknown, using low-level features alone creates inaccuracies in the depth map. Using such flawed depth map for 3D rendering will result in various artifacts, causing an unpleasant viewing experience. The proposed algorithm also uses certain high-level image features to overcome these imperfections and generates an enhanced depth map for improved viewing experience. Finally, we show several 3D results generated with our algorithm in the results section.

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Vikram Appia and Umit Batur "Fully automatic 2D to 3D conversion with aid of high-level image features", Proc. SPIE 9011, Stereoscopic Displays and Applications XXV, 90110W (6 March 2014); https://doi.org/10.1117/12.2040907

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