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

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Titel Fully automatic 2D to 3D conversion with aid of high-level image features
Serientitel Stereoscopic Displays and Applications XXV (SD&A 2014)
Teil 16
Anzahl der Teile 29
Autor Appia, Vikram
Batur, Umit
Lizenz CC-Namensnennung - keine Bearbeitung 2.0 UK: England & Wales:
Sie dürfen das Werk in unveränderter Form zu jedem legalen Zweck nutzen, vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/32364
Herausgeber IS&T Electronic Imaging (EI) Symposium
Erscheinungsjahr 2014
Sprache Englisch

Inhaltliche Metadaten

Fachgebiet Informatik
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. © (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

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