Reconstruction of a fluttering flag from a single image. (February 2021)

• Record Type: Journal Article
• Authors: Hu, Tao; Li, Jun; Guo, Guihuan
• Is Part Of: Journal of algorithms & computational technology. Volume 15(2021)
• Publication Date: 2021-02
• Subjects: Mesh reconstruction -- depth map -- restricted frontal-Delaunay -- simple spring model; Computer algorithms -- Periodicals; Numerical calculations -- Periodicals; Computer algorithms; Numerical calculations; Periodicals; 518.1
• DOI: 10.1177/1748302620983656
• Languages: English
• ISSNs: 1748-3018

Abstract

Reconstructing a 3 D object from a single image is a challenging task because determining useful geometric structure information from a single image is difficult. In this paper, we propose a novel method to extract the 3 D mesh of a flag from a single image and drive the flag model to flutter with virtual wind. A deep convolutional neural fields model is first used to generate a depth map of a single image. Based on the Alpha Shape, a coarse 2 D mesh of flag is reconstructed by sampling at different depth regions. Then, we optimize the mesh to generate a mesh with depth based on Restricted Frontal-Delaunay. We transform the Delaunay mesh with depth into a simple spring model and use a velocity-based solver to calculate the moving position of the virtual flag model. The experiments demonstrate that the proposed method can construct a realistic fluttering flag video from a single image.