REUTER, Patrick; JOYOT, Pierre; TRUNZLER, Jean; BOUBEKEUR, Tamy; SCHLICK, Christophe

Métadonnées

Licence d’utilisation du document

REUTER, Patrick
Visualization and manipulation of complex data on wireless mobile devices [IPARLA]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

JOYOT, Pierre
ESTIA INSTITUTE OF TECHNOLOGY

TRUNZLER, Jean
ESTIA INSTITUTE OF TECHNOLOGY

Langue

Communication dans un congrès

Ce document a été publié dans

EUROGRAPHICS Symposium on Point-Based Graphics, 2005-07-01, New York. 2005

Résumé en anglais

There are many techniques that reconstruct continuous 3D surfaces from scattered point data coming from laser range scanners. One of the most commonly used representations are Point Set Surfaces (PSS) defined as the set of stationary points of a Moving Least Squares (MLS) projection operator. One interesting property of the MLS projection is to automatically filter out high frequency noise, that is usually present in raw data due to scanning errors. Unfortunately, the MLS projection also smoothes out any high frequency feature, such as creases or corners, that may be present in the scanned geometry, and does not offer any possibility to distinguish between such feature and noise. The main contribution of this paper, is to present an alternative projection operator for surface reconstruction, based on the Enriched Reproducing Kernel Particle Approximation (ERKPA), which allows the reconstruction process to account for high frequency features, by letting the user explicitly tag the corresponding areas of the scanned geometry.< Réduire

Mots clés en anglais

Point-sampled surfaces

point set surfaces

point-based surfaces

meshless representation

sharp features

point-based graphics

Métadonnées

Partager cette publication !

Licence d’utilisation du document

Surface Reconstruction with Enriched Reproducing Kernel Particle Approximation

Langue

Ce document a été publié dans

Résumé en anglais

Mots clés en anglais

URI

Origine

Unités de recherche