This page collects the most interesting research I published during my Master's and PhD studies at the Department of Mechanical Engineering at Carnegie Mellon University with advisor Kenji Shimada.

• M. Vieira. Processing 3d laser scanning data for automotive styling design, PhD thesis, Carnegie Mellon University, May 2006. (22 MB)
  Chapters 2, 3, and 4 are revised versions of the papers below. Chapter 5, however, presents a novel method to reconstruct a piecewise-smooth surface from a point cloud using an implicit partition of unity.



• M. Vieira, K. Shimada. Surface Extraction from Point-Sampled Data through Region Growing, International Journal of CAD/CAM, Volume 5, Issue 1, 2005.
  On Google Scholar
  How to segment a point cloud into disjoint regions, each closely approximated by a smooth surface.



• M. Vieira, K. Shimada. Surface Mesh Segmentation and Smooth Surface Extraction Through Region Growing, Computer-Aided Geometric Design Journal, Volume 22, Issue 8, Pages 771-792.
  On Google Scholar
  A more thorough method for splitting a mesh into segments approximated by smooth surfaces.



• M. Vieira, K. Shimada. Segmentation of Noisy Laser-Scanner Generated Meshes With Piecewise Polynomial Approximations, ASME DETC / DAC. 2004, Salt Lake City, Utah.
  On Google Scholar
  How to segment a mesh into disjoint regions, each closely approximated by a smooth surface. This won the conference's Best Paper Award.



• M. Vieira, K. Shimada, and T. Furuhata. Smoothing of Noisy Laser Scanner Generated Meshes Using Polynomial Fitting and Neighborhood Erosion, ASME Journal of Mechanical Design, May 2004.
  On Google Scholar
  How to remove geometric noise from a surface mesh while preserving edges and corners. My first journal paper.