Year: 2019 | Month: June | Volume 7 | Issue 1
3D Perception of a 2D Image Using Displacement Map
DOI:10.30954/2322-0465.1.2019.5
Abstract:
The 3D image gives the experience of the invisible dimension of the 2D image. Many researchers work for a display that projects 3D images in a way that makes them visible from all angles and does not require extra accessories. In this paper, we propose an algorithm to construct a 3D image form a 2D image. In which two major techniques are utilized namely segmentation and displacement map. Segmentation technique is used to classify foreground and background objects which plays an important role in 3D imaging. Our focus is only on the foreground of an image because that relates and enhances the overall composition of an image. Displacement map technique is used for constructing the 3D perception of foreground object that will mimic the quality predictions of 3D perception.
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