Generating 3D Lenticular Effects from a Single Image

  • 黃 仕揚

Student thesis: Master's Thesis


We introduce an interactive user-driven method to reconstruct high-relief 3D geometry from a single image for supporting the creation of rotating lenticular images Particularly we consider two novel but challenging reconstruction issues: i) common non-rigid objects whose shapes are organic rather than polyhedral/symmetric and ii) double-sided structures where front and back sides of some curvy object parts are revealed simultaneously on image To address these issues we develop a three-stage computational pipeline First we construct a 2 5D model from the input image by user-driven segmentation automatic layering and region completion handling three common types of occlusion Second users can interactively mark-up slope and curvature cues on the image to guide our constrained optimization model to inflate and lift up the image layers We provide real-time preview of the inflated geometry to allow interactive editing Third we stitch and optimize the inflated layers to produce a high-relief 3D model Compared to previous work we can generate high-relief geometry with large viewing angles handle complex organic objects with multiple occluded regions and varying shape profiles and reconstruct objects with double-sided structures Lastly we demonstrate the applicability of our method on a wide variety of input images with human animals flowers etc
Date of Award2015 Aug 12
Original languageEnglish
SupervisorTong-Yee Lee (Supervisor)

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