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Integrated Computer-Aided Engineering 10 (2003) 3750 37 Surface modeling using multi-view range and
 

Summary: Integrated Computer-Aided Engineering 10 (2003) 3750 37
IOS Press
Surface modeling using multi-view range and
color images
Yiyong Sun, Joonki Paik, Andreas Koschan and Mongi Abidi
Imaging, Robotics, and Intelligent Systems Laboratory, The University of Tennessee, Knoxville, TN 37996, USA
E-mail: {ysun5,jpaik,akoschan,abidi}@utk.edu
Abstract. This paper presents a framework of surface modeling from multi-view range and color images. The input to the
algorithms are pairs of triangle meshes and color images, and each pair is obtained by a single-view scanning. In the proposed
framework, the triangle meshes from raw data are first processed by the novel surface denoising algorithm based on area decreasing
flow, which avoids the difficulty in curvature estimation of mean curvature flow. The proposed adaptive triangle mesh smoothing
algorithm is based on crease edge strength of each vertex and uses tensor voting of the normal vector field inside a geodesic
window. Surfaces from multiple views are then integrated into a single 3D model. Two integration approaches are discussed,
which are based on mesh zippering and implicit surface fusion, respectively. Color images are incorporated to generate textured
models. The reconstructed surfaces are finally post-processed by volumetric smoothing and filling the holes. Experimentation
using two different range scanners shows that the proposed surface modeling framework is robust and flexible in processing data
from different types of range scanners.
1. Introduction
Laser range scanners have been widely used for three
dimensional (3D) reconstruction which has important

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences