Consolidation of unorganized point clouds for surface reconstruction

Huang, Hui; Li, Dan; Zhang, Hao; Ascher, Uri M.; Cohen–Or, Daniel

doi:10.1145/1618452.1618522

Cited by 360 publications

(321 citation statements)

References 31 publications

(12 reference statements)

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“…Another Principal Component Analysis-based surface reconstruction method is proposed by Huang et al [49]. A preprocessing operator, weighted locally optimal projection, is utilized to denoise the input set and make it outlier-free and equally distributed.…”

Section: Variational Implicit Surface Reconstruction Methodsmentioning

confidence: 99%

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Survey on 3D Surface Reconstruction

2016

J Inf Process Syst

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The recent advent of increasingly affordable and powerful 3D scanning devices capable of capturing high resolution range data about real-world objects and environments has fueled research into effective 3D surface reconstruction techniques for rendering the raw point cloud data produced by many of these devices into a form that would make it usable in a variety of application domains. This paper, therefore, provides an overview of the existing literature on surface reconstruction from 3D point clouds. It explains some of the basic surface reconstruction concepts, describes the various factors used to evaluate surface reconstruction methods, highlights some commonly encountered issues in dealing with the raw 3D point cloud data and delineates the tradeoffs between data resolution/accuracy and processing speed. It also categorizes the various techniques for this task and briefly analyzes their empirical evaluation results demarcating their advantages and disadvantages. The paper concludes with a cross-comparison of methods which have been evaluated on the same benchmark data sets along with a discussion of the overall trends reported in the literature. The objective is to provide an overview of the state of the art on surface reconstruction from point cloud data in order to facilitate and inspire further research in this area.

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Section: Variational Implicit Surface Reconstruction Methodsmentioning

confidence: 99%

“…Huang et al [49] use a preprocessing step to make the input dataset noise-free and outlier-free. This preceding operation guarantees that the input set is evenly distributed.…”

Section: Variational Implicit Methodsmentioning

confidence: 99%

Survey on 3D Surface Reconstruction

2016

J Inf Process Syst

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“…However, several research efforts strive to automate translation of point cloud data into CAD surfaces to reduce data size (Bosche and Haas 2008;Huang et al 2009). And new optimized software for visualization of this data format is being developed (Rusu and Cousins 2011).…”

Section: D Laser Scanning the Adaptation Processmentioning

confidence: 99%

Virtual Reality and 3D Imaging to Support Collaborative Decision Making for Adaptation of Long-Life Assets

Berglund

Gong

Sundström

et al. 2017

Dynamics of Long-Life Assets

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European companies of today are involved in many stages of the product life cycle. There is a trend towards the view of their business as a complex industrial product-service system (IPSS). This trend shifts the business focus from a traditional product oriented one to a function oriented one. With the function in focus, the seller shares the responsibility of for example maintenance of the product with the buyer. As such IPSS has been praised for supporting sustainable practices. This shift in focus also promotes longevity of products and promotes life extending work on the products such as adaptation and upgrades. Staying competitive requires continuous improvement of manufacturing and services to make them more flexible and adaptive to external changes. The adaptation itself needs to be performed efficiently without disrupting ongoing operations and needs to result in an acceptable after state. Virtual planning models are a key technology to enable planning and design of the future operations in parallel with ongoing operations. This chapter presents an approach to combine digitalization and virtual reality (VR) technologies to create the next generation of virtual planning environments. Through incorporating digitalization techniques such as 3D imaging, the models will reach a new level of fidelity and realism which in turn makes them accessible to a broader group of users and stakeholders. Increased accessibility facilitates a collaborative decision making process that invites and includes cross functional teams. Through such involvement, a broader range of experts, their skills, operational and tacit knowledge can be leveraged towards better planning of the upgrade process. This promises to shorten

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“…However, this method suffers from high computational cost for local optimal minimization and fails to preserve geometry features well. Recently, by incorporating adaptive density weighting into LOP, Huang et al [13] modify the LOP operator to handle point sets with non-uniform sampling, which they call WLOP. They also present a robust normal estimation method based on priority-driven normal propagation and orientation-aware PCA, which is adopted for normal estimation in our current system.…”

Section: Related Workmentioning

confidence: 99%

“…(e) (f) (g) (h) Figure 1: Our FLOP method better preserves geometric features than LOP [7] and WLOP [13]. In this paper, we introduce an efficient and Feature-preserving Locally Optimal Projection operator (FLOP) for geometry reconstruction.…”

Section: Introductionmentioning

confidence: 99%

Efficient feature-preserving local projection operator for geometry reconstruction

Liao¹,

Xiao²,

Jin³

et al. 2013

Computer-Aided Design

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This paper proposes an efficient and Feature-preserving Locally Optimal Projection operator (FLOP) for geometry reconstruction. Our operator is bilateral weighted, taking both spatial and geometric feature information into consideration for feature-preserving approximation. We then present an accelerated FLOP operator based on the random sampling of the Kernel Density Estimate (KDE), which produces reconstruction results close to those generated using the complete point set data, to within a given accuracy. Additionally, we extend our approach to time-varying data reconstruction, called Spatial-Temporal Locally Optimal Projection operator (STLOP), which efficiently generates temporally coherent and stable features-preserving results. The experimental results show that the proposed algorithms are efficient and robust for feature-preserving geometry reconstruction on both static models and time-varying data sets.

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Consolidation of unorganized point clouds for surface reconstruction

Cited by 360 publications

References 31 publications

Survey on 3D Surface Reconstruction

Survey on 3D Surface Reconstruction

Virtual Reality and 3D Imaging to Support Collaborative Decision Making for Adaptation of Long-Life Assets

Efficient feature-preserving local projection operator for geometry reconstruction

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