2021
DOI: 10.32920/ryerson.14648556
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Adaptive 2D To 3D Image Conversion Using A Hybrid Graph Cuts And Random Walks Approach

Abstract: This thesis proposes an adaptive method for 2D to 3D conversion of images using a user-aided process based on Graph Cuts and Random Walks. Given user-defined labelling that correspond to a rough estimate of depth, the system produces a depth map which, combined with a 2D image can be used to synthesize a stereoscopic image pair. The work presented here is an extension of work done previously combining the popular Graph Cuts and Random Walks image segmentation algorithms. Specifically, the previous approach has… Show more

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