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Voxel Carving for Specular Surfaces

Thomas Bonfort 1 Peter Sturm 1 
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : We present an novel algorithm that reconstructs voxels of a general 3D specular surface from multiple images of a calibrated camera. A calibrated scene (i.e. points whose 3D coordinates are known) is reflected by the unknown specular surface onto the image plane of the camera. For every viewpoint, surface normals are associated to the voxels traversed by each projection ray formed by the reflection of a scene point. A decision process then discards voxels whose associated surface normals are not consistent with one another. The output of the algorithm is a collection of voxels and surface normals in 3D space, whose quality and size depend on user-set thresholds. The method has been tested on synthetic and real images. Visual and quantified experimental results are presented.
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Thomas Bonfort, Peter Sturm. Voxel Carving for Specular Surfaces. 9th IEEE International Conference on Computer Vision (ICCV '03), Oct 2003, Nice, France. pp.691-696, ⟨10.1109/ICCV.2003.1238401⟩. ⟨inria-00525642⟩



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