Title
Surface reconstruction using 3D morphological operators for objects acquired with a multi-Kinect system
Abstract
This paper describes an innovative extension of morphological operators to the analysis and processing of three dimensional images represented by voxels. In particular, the morphological skeleton well approximates the Medial Axis of a 3D object rendered using a net of Kinect devices: it has proven to be a really effective tool to obtain a compact representation of the object surface that is accurate and very inexpensive in terms of computational time. The reconstructed surface is representable either as a union of balls or as an iso-surface of a 3D function defined as a linear combination of elementary functions with radial support. Furthermore, the representation is easily processable and hierarchically interpretable. The morphological operators neither require any prior information on the reconstructed volume, nor impose any resolution requirement on the object under analysis. The only input for morphological operators is a volume of voxels. Information on the volume nature or resolution requirements are related only to the particular application to which the morphological operators are applied, but do not limit the applicability of any of the proposed morphological operators.
Year
DOI
Venue
2013
10.1145/2466715.2466719
MIRAGE
Keywords
Field
DocType
reconstructed volume,object surface,proposed morphological operator,surface reconstruction,compact representation,resolution requirement,multi-kinect system,particular application,morphological operator,volume nature,morphological skeleton,prior information,kinect
Voxel,Linear combination,Surface reconstruction,Computer vision,Morphological skeleton,Pattern recognition,Computer science,Ball (bearing),Elementary function,Medial axis,Artificial intelligence,Operator (computer programming)
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
3
Name
Order
Citations
PageRank
Eliana Frigerio171.45
Marco Marcon25211.10
Stefano Tubaro31033119.50