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Semi-signed neural fitting for surface reconstruction from unoriented point clouds [article]

Runsong Zhu, Di Kang, Ka-Hei Hui, Yue Qian, Xuefei Zhe, Zhen Dong, Linchao Bao, Chi-Wing Fu
2022 arXiv   pre-print
Reconstructing 3D geometry from unoriented point clouds can benefit many downstream tasks.  ...  To reconstruct a better signed distance field, we propose semi-signed neural fitting (SSN-Fitting), which consists of a semi-signed supervision and a loss-based region sampling strategy.  ...  In summary, we propose Semi-Signed Neural Fitting (SSN-Fitting) for more accurate and stable surface reconstructions from raw point clouds.  ... 
arXiv:2206.06715v1 fatcat:pncxnapt6zd2ra6tdf3uji5nsu

Deep Active Latent Surfaces for Medical Geometries [article]

Patrick M. Jensen, Udaranga Wickramasinghe, Anders B. Dahl, Pascal Fua, Vedrana A. Dahl
2022 arXiv   pre-print
Shape priors have long been known to be effective when reconstructing 3D shapes from noisy or incomplete data.  ...  For inference, the latent vectors are updated independently while imposing spatial regularization constraints.  ...  Shape Reconstruction from 3D Point Clouds Experimental Setup.  ... 
arXiv:2206.10241v1 fatcat:hvexl5z4dndnficdu6afwetlqu

Stochastic Poisson Surface Reconstruction [article]

Silvia Sellán, Alec Jacobson
2022 arXiv   pre-print
We introduce a statistical extension of the classic Poisson Surface Reconstruction algorithm for recovering shapes from 3D point clouds.  ...  Instead of outputting an implicit function, we represent the reconstructed shape as a modified Gaussian Process, which allows us to conduct statistical queries (e.g., the likelihood of a point in space  ...  available for academic use: ShaggyDude (Fig. 1 , CC BY 4.0), Perry Engel (Fig. 16 third row, CC BY-NC 4.0), Joshua Poh (Fig. 17  ... 
arXiv:2206.15236v1 fatcat:vuqo3pae5vcktiydy4453bnuiy

Shrink Wrap Mesh Generation Using Morphological Operators with Selected Applications

Vijai Kumar Suriyababu, Cornelis Vuik, Matthias Möller
2022 Zenodo  
They are also well suited for handling point clouds (oriented and unoriented), and we show some examples of the same with some unoriented point clouds.  ...  However, we showcase the applicability of our algorithms for aerodynamic simulations, fluid volume extraction, and surface simplification.  ...  For a given surface S, for a query point p, the solid angle is the signed surface area of the projection of S onto the unit sphere centred at p as shown in figure 26 .  ... 
doi:10.5281/zenodo.6562409 fatcat:furtkcp7zfgkzfisapzjhwh6xq

New methods for 3D reconstructions using high resolution satellite data [article]

Ke Gong, Universität Stuttgart
2021
., 2007] reconstruct the mesh surface directly from unoriented point clouds.  ...  The profiles extracted from tSGM and S2P point cloud and the reference profile are fitted in most Figure 4 . 24 : 424 Residential area: (a) LiDAR point cloud (b) point cloud generated from our tSGM pipeline  ... 
doi:10.18419/opus-11453 fatcat:i4643rr3dffltlbzlx3lj5itoa

Visual Analysis in Traffic & Re-identification [article]

Andreas Møgelmose
2015 Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet  
Eshed Ohn-Bar for their comments.  ...  The authors would also like to acknowledgment Cassa di Risparmio di Parma e Piacenza for funding the test platform used for this work.  ...  Thus, the noisy subject's surface is smoothed (Moving Least Squares surface reconstruction method) and up-sampled to fill the holes ( Figure I.4(d) ).  ... 
doi:10.5278/vbn.phd.engsci.00026 fatcat:taivrerts5debi734ddeeaq244

Geometric Structure Extraction and Reconstruction

Shihao Wu, Make_name_string Expected Hash Reference
2018
Within different communities, it can be interpreted as different subproblems such as skeleton extraction from the point cloud, surface reconstruction from multi-view images, or manifold learning from high  ...  All these subproblems are building blocks of many modern applications, such as scene reconstruction for AR/VR, object recognition for robotic vision and structural analysis for big data.  ...  For example, it can be viewed as a problem of skeleton extraction from the point cloud [130] , surface reconstruction from multi-view images [118] , and manifold learning from high dimensional data  ... 
doi:10.24442/boristheses.796 fatcat:fxlp5fqsxbbj7mfb7mzowezs6q

Geometric Structure Extraction and Reconstruction

Shihao Wu, Matthias Zwicker, Michael Wand
2018 unpublished
Within different communities, it can be interpreted as different subproblems such as skeleton extraction from the point cloud, surface reconstruction from multi-view images, or manifold learning from high  ...  All these subproblems are building blocks of many modern applications, such as scene reconstruction for AR/VR, object recognition for robotic vision and structural analysis for big data.  ...  For example, it can be viewed as a problem of skeleton extraction from the point cloud [130] , surface reconstruction from multi-view images [118] , and manifold learning from high dimensional data  ... 
doi:10.7892/boris.118910 fatcat:ypwkknuidzch7iolxwkj3g4nse

Perceptual Quality of Point Clouds with application to Compression

Evangelos Alexiou
2021
The objective is to reconstruct an iso-surface from a set of points that are regularly sampled.  ...  Surface reconstruction from unorganized points (Hoppe et al., 1992) denotes a pioneering work.  ...  The URL link is: https://github.com/mmspg/point-cloud-web-renderer. • PointXR toolbox: Unity implementation for rendering and visualization of 3D point clouds in virtual environments.  ... 
doi:10.5075/epfl-thesis-8051 fatcat:hdw5y4howvbqhlkgna6xg6fnfe

CONTACTLESS FINGERPRINT BIOMETRICS: ACQUISITION, PROCESSING, AND PRIVACY PROTECTION [article]

RUGGERO DONIDA LABATI
2013
A and 3D Method B: (a,b): filtered point cloud and surface mapping using the 3D Method A; (c,d): unfiltered point cloud and surface mapping using the 3D Method A; (e,f): filtered point cloud and surface  ...  unfiltered point cloud and surface mapping using the 3D Method A; (e,f): filtered point cloud and surface mapping using the 3D Method B; (g,h): unfiltered point cloud and surface mapping using the 3D Method  ...  EXPERIMENTAL RESULTS Table 6 .8: Feature datasets tested for the evaluation of the researched approach for the quality assessment of contact-equivalent fingerprint images.  ... 
doi:10.13130/donida-labati-ruggero_phd2013-02-26 fatcat:yruf5wc3vzea5epe7l6jxighvi

Neural architectures for unifying brightness perception and image processing [article]

Matthias Sven Keil, Universität Ulm, Universität Ulm
2016
features, e.g. lines and points), SURFACES (small-scale odd symmetric features for building cortical surface representations), and LUMINANCE GRADIENTS (large-scale even and odd symmetric features, e.g  ...  Within the architecture it is presumed that cortical simple cells of different symmetries (even, odd), and sizes, extract different aspects from the visual input, namely EXTURE (small-scale even symmetric  ...  Figure 5 . 56 : 556 Figure 5.56: Cloud removing from aerial images I. The original image shows an Figure 5 . 5 Figure 5.57: Cloud removing from aerial images II.  ... 
doi:10.18725/oparu-34 fatcat:5xycfuhu2jcjncy7phk4n65fpy

Dynamical and topological tools for (modern) music analysis [article]

MATTIA GIUSEPPE BERGOMI
2015
In this work, we suggest a collection of novel models for the representation of music that are endowed with two main features.  ...  The 3-dimensional shapes derived from these deformations are classified using the formalism of persistent homology.  ...  Music features have been represented as polyhedral surfaces and point clouds.  ... 
doi:10.13130/bergomi-mattia-giuseppe_phd2015-12-10 fatcat:td4z46z435depmsq4rerp3tsjq

The Death Drive Revisited: A Reexamination of Psychoanalytic Drive Theory and its Implications for Critical Theory

Benjamin Yen Yi Fong
2017
This dissertation is a reexamination of Sigmund Freud's mature drive theory, also known as his theory of the death drive, and its relevance for critical social theory, and in particular that of the so-called  ...  It is the basic characterization of our emergence from utterly dependent creatures to semi-independent adults.  ...  So where does the symbolic fit in?  ... 
doi:10.7916/d8dn44dv fatcat:lkjmqwqg5nbhrowrsvcumjjpem