Surface reconstruction techniques: a review

Lim, Seng Poh; Haron, Habibollah

doi:10.1007/s10462-012-9329-z

Cited by 74 publications

(32 citation statements)

References 59 publications

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“…This approach obtains a global optimum surface which may not preserve topology and fill the holes in the object. Lim and Haron (Lim and Haron, 2014) have surveyed surface reconstruction techniques in more details. There are also some scientific endeavors to recover the normal vector field of an object.…”

Section: Literature Reviewmentioning

confidence: 99%

3d Super-Resolution Approach for Sparse Laser Scanner Data

Hosseinyalamdary

Yılmaz

2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Laser scanner point cloud has been emerging in Photogrammetry and computer vision to achieve high level tasks such as object tracking, object recognition and scene understanding. However, low cost laser scanners are noisy, sparse and prone to systematic errors. This paper proposes a novel 3D super resolution approach to reconstruct surface of the objects in the scene. This method works on sparse, unorganized point clouds and has superior performance over other surface recovery approaches. Since the proposed approach uses anisotropic diffusion equation, it does not deteriorate the object boundaries and it preserves topology of the object. The laser scanner point cloud may be noisy, sparse, prone to systematic errors. We propose an approach to overcome these problems and reconstruct surface of the objects in this paper.

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Section: Literature Reviewmentioning

confidence: 99%

3d Super-Resolution Approach for Sparse Laser Scanner Data

Hosseinyalamdary

Yılmaz

2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…By contrast, modeling methods based on physical environment of the objects have recently started to gain popularity for surface modeling and design [1][2][3][4][5][6][7][8][9]. Compared with traditional control-point-based techniques, methods based on the physical environment have many advantages.…”

Section: Introductionmentioning

confidence: 99%

Linear ODE Based Geometric Modelling for Compressor Blades

Huo¹,

Jiang²,

Ye³

et al. 2017

Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)

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Abstract-Geometric modeling based on physical environment of the objects has been emerging as a powerful modeling technique and started to gain popularity for surface modeling and design. These methods usually allow the geometric objects to be defined and governed by a set of differential equations. In this paper, we focus on the geometric modeling for compressor blades, upon which the flow is governed by Navier-Stokes (NS) equations. As we cannot use NS equations directly due to its essential complexity, linear ODE systems are used to describe the elementary blade types of the blade surface. Then, we use the homotopy based method to reconstruct the full surface. A specific blade surface represented as data scatter is used to verify our method. According to the properties of the original data, different parametrization methods are discussed. Numerical results show that our method offers a nice representation for the blade surface.

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“…Reconstructing the geometry from the raw point clouds has consequently been an active research topic in reverse engineering over the last decades. A more recently review can be found in [10,14]. Generally speaking, reported methods can be divided into two groups regarding whether feature curves are explicitly extracted from point clouds.…”

Section: Introductionmentioning

confidence: 99%

Functional Surface Reconstruction from Unorganized Noisy Point Clouds

Liu¹

2014

Computer-Aided Design and Applications

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As point clouds have become an important representation of objects in reverse engineering, surface reconstruction from point clouds has consequently been an active research topic over many years. In this paper a new procedure for surface reconstruction directly from point clouds is proposed. Similar to many reported works, boundary points of functional surfaces are firstly detected by the extended difference of normals operator. After the points belonging to the same functional surface are grouped by a simple algorithm, a B-spline surface is fitted to these points so as to generate an editable NURBS surface. Experimental results shown in this literature demonstrate the feasibility of the proposed method to reconstruct curved surface with high curvature.

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Surface reconstruction techniques: a review

Cited by 74 publications

References 59 publications

3d Super-Resolution Approach for Sparse Laser Scanner Data

3d Super-Resolution Approach for Sparse Laser Scanner Data

Linear ODE Based Geometric Modelling for Compressor Blades

Functional Surface Reconstruction from Unorganized Noisy Point Clouds

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