Authors:
Yulan Guo
;
Jianwei Wan
;
Jun Zhang
;
Ke Xu
and
Min Lu
Affiliation:
National University of Defense Technology, China
Keyword(s):
Range Image, 3D Modeling, Local Feature, Feature Matching, Registration.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
CAGD/CAD/CAM Systems
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Modeling and Algorithms
;
Pattern Recognition
;
Scene and Object Modeling
;
Software Engineering
;
Surface Modeling
Abstract:
Multi-view range image registration is a significant and challenging problem for 3D modeling. This paper presents a reference shape based multi-view range image registration algorithm. First, a set of Rotational Projection Statistics (RoPS) features are extracted from the input range images. Next, the reference shape is initialized by selecting a range image from the input. The reference shape is then iteratively updated by registering itself with the remaining range images. The registration between the reference shape and any range image is completed by RoPS feature matching. Finally, all input range images are registered according to their corresponding reference shapes. A number of experiments were performed to test the performance of our algorithm. The experimental results show that the reference shape based algorithm can perform multi-view registration on a mixed set of unordered range images corresponding to several different objects. It is also very accurate and efficient. It
outperformed the state-of-the-arts including the spanning tree based and connected graph based algorithms.
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