High Resolution Surface Reconstruction from Overlapping Multiple-Views

Extracting a computer model of a real scene from a sequence
of views, is one of the most challenging and fundamental
problems in computer vision. Stereo vision algorithms allow
us to extract from the images a sparse 3D point cloud on
the scene surfaces. However, computing an accurate mesh
of the scene based on such poor quality data points (noise,
sparsity) is very difficult. Here we describe a simple yet
original approach that uses both the stereo vision extracted
point cloud and the calibrated images. Our method is a
three-stage process in which the first stage merges, filters
and smoothes the input 3D points. The second stage builds
for each calibrated image a triangular depth-map and fuses
the set of depth-maps into a triangle soup that minimize
violations of size and visibility constraints. Finally, a mesh
is computed from the triangle soup using a reconstruction
method that combines restricted Delaunay triangulation and
Delaunay refinement.

For any question regarding this research work feel free to contact http://www-sop.inria.fr/members/Nader.Salman

Category:

Science & Technology

Tags:

• SOCG09
• Video/Multimedia