Authors:
Manuel Frei
and
Simon Winkelbach
Affiliation:
TU Braunschweig, Germany
Keyword(s):
Surface Registration, Scan Alignment, Self-similarity, Surface-based Feature, RANSAC, RANSAM, 3D Puzzle.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Geometry and Modeling
;
Image and Video Analysis
;
Image-Based Modeling
;
Pattern Recognition
;
Shape Representation and Matching
;
Software Engineering
Abstract:
In the last 20 years many approaches for the registration and localization of surfaces were developed. Most of
them generate solutions by minimizing point distances or maximizing contact areas between surface points.
Other algorithms try to detect corresponding points on the two surfaces by searching for points with same features
and align them. However, aligning and localizing self-similar surfaces or surfaces having large regions
with approximately constant curvature is still a complex problem.
In this paper a new algorithm for registration and matching of surfaces is introduced, which extends an approach
maximizing the contact area between the surfaces by surface-based dissimilarity features and thereby
solves the problem of registering the problematic surfaces described above.
Our evaluation shows the great potential of our approach regarding efficiency, accuracy and robustness for
various applications like scan alignment, pottery assembly or bone reduction.