Actor 3D reconstruction by a scene-based, visual hull guided, multi-stereovision framework - Archive ouverte HAL Access content directly
Conference Papers Year :

Actor 3D reconstruction by a scene-based, visual hull guided, multi-stereovision framework

, , , , (1)
1
Muhannad Ismael
  • Function : Author
Raissel Ramirez Orozco
  • Function : Author
Céline Loscos
Stéphanie Prevost

Abstract

This paper proposes a novel framework to produce 3D, high-precision models of humans from multi-view capture. This method's inputs are a visual hull and several sets of multi-baseline views. For each such view set, a surface is reconstructed with a multi-baseline stereovision method, then used to carve the visual hull. Carved visual hulls from different view sets are then fused pairwise to deliver the intended 3D model. The contributions of this paper are threefold: (i) the addition of visual hull guidance to a multi-baseline stereovision method, (ii) a carving solution to a visual hull from an interpolated and smooth stereovision surface, and (iii) a fusion solution to merge differently carved volumes differing in several areas. The paper shows that the proposed approach helps recovering a high quality carved volume, a 3D representation of the human to be modelled, that is precise even for small details and in concave areas subjected to occlusion.
Fichier principal
Vignette du fichier
WSCGFinal.pdf (4.83 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01788461 , version 1 (09-05-2018)

Identifiers

  • HAL Id : hal-01788461 , version 1

Cite

Muhannad Ismael, Raissel Ramirez Orozco, Céline Loscos, Stéphanie Prevost, Yannick Rémion. Actor 3D reconstruction by a scene-based, visual hull guided, multi-stereovision framework. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSGC) short papers proceedings, Vaclav Skala, 2018, Plzen, Czech Republic. pp.46-55. ⟨hal-01788461⟩

Collections

URCA CRESTIC ANR
87 View
157 Download

Share

Gmail Facebook Twitter LinkedIn More