Hole filling in 3D volumetric objects

Janaszewski, Marcin; Couprie, Michel; Babout, Laurent

doi:10.1016/j.patcog.2010.04.015

Cited by 29 publications

(14 citation statements)

References 28 publications

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“…4d and after by applying the hole closing algorithm (HCA) [20]. Indeed, this latter method recently extended by Janaszewski et al [7,21] has been successfully used to detect bridge ligaments in 3D X-ray microtomography images of intergranular stress corrosion cracking in austenitic stainless steel [22], as well as to reconstruct weld interface in tomography images of friction stir spot welding thin aluminum sheet [23]. In the present study, the method has been applied to reconstruct the parts of the β-gb that were not selected during the region growing step, as shown in Fig.…”

Section: Segmentation Of Primary β Grain Boundarymentioning

confidence: 99%

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3D characterization of trans- and inter-lamellar fatigue crack in (α + β) Ti alloy

Babout

Jopek

Preuss

2014

Materials Characterization

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Section: Segmentation Of Primary β Grain Boundarymentioning

confidence: 99%

“…Usually, n = 26 and m = 6. See [6,21] for more details). Points x in X can be classified as simple points, interior points, isthmus points or junction points based on the values of T n (x, X) and T m (x, X*).…”

Section: Segmentation Of Primary β Grain Boundarymentioning

confidence: 99%

3D characterization of trans- and inter-lamellar fatigue crack in (α + β) Ti alloy

Babout

Jopek

Preuss

2014

Materials Characterization

Self Cite

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“…For an overview of many of the relevant research projects related to polygonal repair, see the course notes on 'Geometric Modeling Based on Polyongal Meshes' (Botsch et al, 2007). Recent work in surfaces has been conducted (Bac et al, 2008), while seminal work in the volume setting includes, VRIP (Curless and Levoy, 1996) and subsequently volume diffusion (Davis et al, 2002), along with recent work in the volume setting by (Janaszewski et al, 2010). While there has been excellent work in the field of hole filling, the work presented in this paper addresses the unique challenge of acquired data from noisy sonar along with the challenge of showing information regarding confidence in our filled geometric models.…”

Section: Related Workmentioning

confidence: 99%

Uncertainty Visualization and Hole Filling for Geometric Models of Ancient Water Systems

Forrester¹,

McVicker²,

Gambin³

et al. 2013

Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Inform

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Abstract:Geometric data acquired via a scanning process can suffer from holes due to errors in the acquisition process, noise, or challenges in merging multiple inputs together into a unified map. We present a straight forward algorithm to fill holes in incomplete evidence grids representing acquired geometric data. We also present our methods to apply learning in order to statistically evaluate the proposed hole filling algorithm. This analysis validates our proposed method for hole filling and additionally enables the construction of a probability distribution function to represent the accuracy of the filled data per model. During surface reconstruction, this function can be used to visualize the certainty of the filled geometry via transparency and coloring giving the user an understanding of the data's accuracy. This work is motivated by a multi-year project to construct educational visualizations of ancient water storage systems, i.e. cisterns and wells within churches, fortresses and homes on the islands of Malta, Gozo and Sicily.

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“…These models have medical applications like Computer-Aided Surgery, Structural Modelling of Tissue, Design of Orthopaedic Device, Implants, Tissue Scaffolds and Freeform Fabrication or Bio-Manufacturing, etc. [1][2][3] and non-medical applications like in the field of passenger safety design and crash analysis [4,5]. For construction of Bio-CAD models, Reverse Engineering (RE) approach is implemented.…”

Section: Introductionmentioning

confidence: 99%

Methodologies for Development of Patient Specific Bone Models from Human Body CT Scans

Chougule¹,

Mulay²,

Ahuja

2016

J. Inst. Eng. India Ser. C

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This work deals with development of algorithm for physical replication of patient specific human bone and construction of corresponding implants/inserts RP models by using Reverse Engineering approach from non-invasive medical images for surgical purpose. In medical field, the volumetric data i.e. voxel and triangular facet based models are primarily used for bio-modelling and visualization, which requires huge memory space. On the other side, recent advances in Computer Aided Design (CAD) technology provides additional facilities/functions for design, prototyping and manufacturing of any object having freeform surfaces based on boundary representation techniques. This work presents a process to physical replication of 3D rapid prototyping (RP) physical models of human bone from various CAD modeling techniques developed by using 3D point cloud data which is obtained from noninvasive CT/MRI scans in DICOM 3.0 format. This point cloud data is used for construction of 3D CAD model by fitting B-spline curves through these points and then fitting surface between these curve networks by using swept blend techniques. This process also can be achieved by generating the triangular mesh directly from 3D point cloud data without developing any surface model using any commercial CAD software. The generated STL file from 3D point cloud data is used as a basic input for RP process. The Delaunay tetrahedralization approach is used to process the 3D point cloud data to obtain STL file. CT scan data of Metacarpus (human bone) is used as the case study for the generation of the 3D RP model. A 3D physical model of the human bone is generated on rapid prototyping machine and its virtual reality model is presented for visualization. The generated CAD model by different techniques is compared for the accuracy and reliability. The results of this research work are assessed for clinical reliability in replication of human bone in medical field.

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Hole filling in 3D volumetric objects

Cited by 29 publications

References 28 publications

3D characterization of trans- and inter-lamellar fatigue crack in (α + β) Ti alloy

3D characterization of trans- and inter-lamellar fatigue crack in (α + β) Ti alloy

Uncertainty Visualization and Hole Filling for Geometric Models of Ancient Water Systems

Methodologies for Development of Patient Specific Bone Models from Human Body CT Scans

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