Stochastic Refinement of the Visual Hull to Satisfy Photometric and Silhouette Consistency Constraints

  • Authors:
  • John Isidoro;Stan Sclaroff

  • Affiliations:
  • -;-

  • Venue:
  • ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
  • Year:
  • 2003

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Abstract

An iterative method for reconstructing a 3D polygonalmesh and color texture map from multiple views of an objectis presented. In each iteration, the method first estimates atexture map given the current shape estimate. The texturemap and its associated residual error image are obtainedvia maximum a posteriori estimation and reprojection of themultiple views into texture space. Next, the surface shape isadjusted to minimize residual error in texture space. Thesurface is deformed towards a photometrically-consistentsolution via a series of 1D epipolar searches at randomlyselected surface points. The texture space formulation hasimproved computational complexity over standard image-basederror aproaches, and allows computation of the reprojectionerror and uncertainty for any point on the surface.Moreover, shape adjustments can be constrained suchthat the recovered model's silhouette matches those of theinput images. Experiments with real world imagery demonstratethe validity of the approach.