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First International Symposium on 3D Data Processing Visualization and Transmission (3DPVT'02)
Stochastic Mesh-Based Multiview Reconstruction
Padova, Italy
June 19-June 21
ISBN: 0-7695-1521-5
John Isidoro, Boston University
Stan Sclaroff, Boston University
A method for reconstruction of 3D polygonal models from multiple views is presented. The method uses sampling techniques to construct a texture-mapped semi-regular polygonal mesh of the object in question. Given a set of views and segmentation of the object in each view, constructive solid geometry is used to build a visual hull from silhouette prisms. The resulting polygonal mesh is simplified and subdivided to produce a semi-regular mesh. Regions of model fit inaccuracy are found by projecting the reference images onto the mesh from different views. The resulting error images for each view are used to compute a probability density function, and several points are sampled from it. Along the epipolar lines corresponding to these sampled points, photometric consistency is evaluated. The mesh surface is then pulled towards the regions of higher photometric consistency sing free-form deformations. This sampling-based approach produces a photometrically consistent solution in much less time than possible with previous multi-view algorithms given arbitrary camera placement.
Citation:
John Isidoro, Stan Sclaroff, "Stochastic Mesh-Based Multiview Reconstruction," 3dpvt, pp.568, First International Symposium on 3D Data Processing Visualization and Transmission (3DPVT'02), 2002
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