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