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2007
DOI: 10.1080/16864360.2007.10738515
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3D Mesh Segmentation Methodologies for CAD applications

Abstract: ABSTRACT3D mesh segmentation is a fundamental process for Digital Shape Reconstruction in a variety of applications including Reverse Engineering, Medical Imaging, etc. It is used to provide a high level representation of the raw 3D data which is required for CAD, CAM and CAE. In this paper, we present an exhaustive overview of 3D mesh segmentation methodologies examining their suitability for CAD models. In particular, a classification of the various methods is given based on their corresponding underlying fu… Show more

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Cited by 146 publications
(77 citation statements)
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References 35 publications
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“…Many mesh segmentation methods exist in the graphics literature that aim to decompose a mesh into functional parts; a recent survey can be found in [28] and [1], and comparisons between several algorithms appear in [3]. These b) Consistent Segmentation a) Individual Segmentations Figure 1: Individual segmentations of a set of chairs are shown in (a).…”
Section: Previous Workmentioning
confidence: 99%
“…Many mesh segmentation methods exist in the graphics literature that aim to decompose a mesh into functional parts; a recent survey can be found in [28] and [1], and comparisons between several algorithms appear in [3]. These b) Consistent Segmentation a) Individual Segmentations Figure 1: Individual segmentations of a set of chairs are shown in (a).…”
Section: Previous Workmentioning
confidence: 99%
“…Many shape decomposition techniques have been developed in computer graphics literature (see [31] and [32] for thorough surveys); most of these are for partitioning a single surface following its own geometry. Here, for the mapping purpose, the partitioning of and M need to be consistent (i.e., each subpart i has same topology with its corresponding part M i , and the dual graphs of these two decompositions are isomorphic).…”
Section: Positional Constraints By Surface Mappingmentioning
confidence: 99%
“…In recent years, we have seen an explosive growth of the available 3D model data across a variety of fields, such as reverse engineering and 3D medical imaging, with the development of the acquisition techniques [1,23,20,16,15,8,7,5,10,18]. We are therefore faced with an ever-increasing demand for approaches towards automatic model processing, understanding and analysis.…”
Section: Introductionmentioning
confidence: 99%