2D to 3D Video COnversion
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 12
Abstract
3D video applications becoming popular in our daily life, especially at home entertainment. Although more and more 3D movies are being made, 3D video content are still not rich enough to satisfy the future 3D video market. There is a rising demand on new techniques for automatically converting 2D video content to stereoscopic 3D video displays. However, in recent years, there has been rapid progress in the field’s image capture, coding and display which brings the realm of 3D closer to reality than ever before. The survey investigates the existing 2D to 3D conversion algorithms developed in the past years by various computer vision research communities across the world. Each algorithm has its own strengths and weaknesses. Most conversion algorithms make use of certain depth cues to generate depth maps. Among 2D-to-3D image conversion methods, those involving human operators have been most successful but also time-consuming and costly. Fully-automatic methods typically make strong assumptions about the 3D scene. Although such methods may work well in some cases, in general it is very difficult to construct a deterministic scene model that covers all possible background and foreground combinations. In practice, such methods have not achieved the same level of quality as the semi-automatic methods. In this survey we Survey Block-based depth from motion estimation, color based region segmentation, fusion, Multi cue fusion, Bilateral Filter, DIBR techniques.
Authors and Affiliations
Arpita Limbachiya
Keywords
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