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A New Framework for Fitting Shape Models to Range Scans: Local Statistical Shape Priors Without Correspondences [article]

Carsten Last, Simon Winkelbach, Friedrich M. Wahl
2013 International Symposium on Vision, Modeling, and Visualization  
Finally, we present a new framework to fit this local statistical shape model without correspondences to range scans that represent incomplete parts of the trained shape class.  ...  In this contribution, we focus on a statistical shape model that can be constructed from a set of training shapes without defining any point-correspondences.  ...  Then, in section 3 we will present our new framework for fitting the local statistical shape model to range scans.  ... 
doi:10.2312/pe.vmv.vmv13.153-160 dblp:conf/vmv/LastWW13 fatcat:zybhlncm4bfavbux5zyqj5kgnu

Shape and Texture Priors for Liver Segmentation in Abdominal Computed Tomography Scans Using the Particle Swarm Optimization Algorithm

Ahmed AFIFI, Toshiya NAKAGUCHI, Norimichi TSUMURA, Yoichi MIYAKE
2010 Medical Imaging Technology  
In this report, we propose a fully automated medical image segmentation framework in which the segmentation process is constrained by two prior models: a shape prior model and a texture prior model.  ...  Then, the particle swarm optimization (PSO) algorithm is used to refine the preliminary segmentation according to the shape prior model.  ...  The prior shape model is constructed by the statistical analysis of a set of training shapes describing the variation in object shape.  ... 
doi:10.11409/mit.28.53 fatcat:jqeykvss4fgb3gvylkuhza3dhm

Densely tracking sequences of 3D face scans [article]

Huaxiong Ding, Liming Chen
2017 arXiv   pre-print
A novel fitting framework is presented for automatically tracking a full sequence of 3D face scans.  ...  The majority of the existing methods just fit a 3D face surface or model to a 3D target surface without considering temporal information between frames.  ...  Overview of the proposed framework for automatically densely fitting sequences of 3D face scans a novel method additionally introducing the statistical prior as an extra constraint on the fitting procedure  ... 
arXiv:1709.04295v1 fatcat:zpt3larmzjh7npe2zerfvsthii

Global Correspondence Optimization for Non-Rigid Registration of Depth Scans

Hao Li, Robert W. Sumner, Mark Pauly
2008 Computer graphics forum (Print)  
We present a registration algorithm for pairs of deforming and partial range scans that addresses the challenges of non-rigid registration within a single non-linear optimization.  ...  Our method is not restricted to part-in-whole matching, but addresses the general problem of partial matching, and requires no explicit prior correspondences or feature points.  ...  We gratefully thank Thibaut Weise for providing the 3-D scan data, Rony Goldenthal for the cloth simulation, and Johannes Schmid for editing the video. We would also like to thank Niloy J.  ... 
doi:10.1111/j.1467-8659.2008.01282.x fatcat:6f4hd4ilqfcfhcpo6flmmjvoba

Model-based anthropometry: Predicting measurements from 3D human scans in multiple poses

Aggeliki Tsoli, Matthew Loper, Michael J. Black
2014 IEEE Winter Conference on Applications of Computer Vision  
We fit a deformable 3D body model to scan data in one or more poses; this model-based fitting is robust to scan noise. This brings the scan into registration with a database of registered body scans.  ...  Then, we extract features from the registered model (rather than from the scan); these include, limb lengths, circumferences, and statistical features of global shape.  ...  ML is a consultant and MJB is a shareholder and member of the board at Body Labs Inc., a company commercializing 3D body shape technology.  ... 
doi:10.1109/wacv.2014.6836115 dblp:conf/wacv/TsoliLB14 fatcat:a2f5lckjhbhyfaqmto4d4riqvi

A Review of Body Measurement Using 3D Scanning

Kristijan Bartol, David Bojanic, Tomislav Petkovic, Tomislav Pribanic
2021 IEEE Access  
To create a statistical model, a mesh fitting procedure needs to be applied to each scan in a dataset.  ...  FIGURE 9: An overview of a mesh fitting process for the creation of statistical models.  ...  This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.  ... 
doi:10.1109/access.2021.3076595 fatcat:ditipdlro5gc3cm2zuoyvfw6hi

Analysis of segmented human body scans

Pengcheng Xi, Won-Sook Lee, Chang Shu
2007 Graphics Interface  
for a better observance of the variations) ABSTRACT Analysis on a dataset of 3D scanned surfaces have presented problems because of incompleteness on the surfaces and because of variances in shape, size  ...  In this paper, a high-resolution generic model is aligned to data in the Civilian American and European Surface Anthropometry Resources (CAESAR) database in order to obtain a consistent parameterization  ...  [5] presented a framework for determining complex shape models from range scan data. Their framework consists of algorithms based on the theory of probabilistic graphical models.  ... 
doi:10.1145/1268517.1268523 dblp:conf/graphicsinterface/XiLS07 fatcat:rvhakn4mmbbahfzn6jmcu2a6fq

Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans [article]

Maximilian Weiherer, Andreas Eigenberger, Bernhard Egger, Vanessa Brébant, Lukas Prantl, Christoph Palm
2022 arXiv   pre-print
We present the Regensburg Breast Shape Model (RBSM) -- a 3D statistical shape model of the female breast built from 110 breast scans acquired in a standing position, and the first publicly available.  ...  Together with the model, a fully automated, pairwise surface registration pipeline used to establish dense correspondence among 3D breast scans is introduced.  ...  Josef Hospital Regensburg for their help during data collection. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.  ... 
arXiv:2107.13463v2 fatcat:p7m4ifizifha5b6oxsogzl247a

Multilevel active registration for kinect human body scans: from low quality to high quality

Zongyi Xu, Qianni Zhang, Shiyang Cheng
2017 Multimedia Systems  
for high-quality meshes in terms of accuracy and it outperforms them in the case of low-quality scans where noises, holes and obscure parts are prevalent.  ...  Without using correspondence, we choose to build a shape-aware coordinate system for each model and transform the source to align its origin and axes with the target.  ...  Besides the ICP-based registration methods mentioned above, statistical shape models are employed to improve the smoothness and robustness, as the prior knowledge are embedded.  ... 
doi:10.1007/s00530-017-0541-1 fatcat:qo2y2l5mcffwdp7gdrhbsnl64u

3D Scanning: A Comprehensive Survey [article]

Morteza Daneshmand, Ahmed Helmi, Egils Avots, Fatemeh Noroozi, Fatih Alisinanoglu, Hasan Sait Arslan, Jelena Gorbova, Rain Eric Haamer, Cagri Ozcinar, Gholamreza Anbarjafari
2018 arXiv   pre-print
and airborne laser scanning, as well as time-of-flight, structured-light and phase-comparison methods, along with comparative and combinational studies, the latter being intended to help make a clearer  ...  Moreover, outlier detection and surface fitting procedures are discussed concisely, which are necessary post-processing stages.  ...  Robust Statistical Approaches The focus of [178] is planar surface fitting and local normal estimation of a fitted plane.  ... 
arXiv:1801.08863v1 fatcat:rxp5so32mragrmsixcn7pgpqme

Dynamic Facial Asset and Rig Generation from a Single Scan [article]

Jiaman Li, Zhengfei Kuang, Yajie Zhao, Mingming He, Karl Bladin, Hao Li
2020 arXiv   pre-print
In order to simplify and accelerate this digitization process, we propose a framework for the automatic generation of high-quality dynamic facial assets, including rigs which can be readily deployed for  ...  Our framework takes a single scan as input to generate a set of personalized blendshapes, dynamic and physically-based textures, as well as secondary facial components (e.g., teeth and eyeballs).  ...  ACKNOWLEDGMENTS We thank Liwen Hu from Pinscreen for the fruitful discussions and helping with this paper.  ... 
arXiv:2010.00560v2 fatcat:rmgaexy47vauxk22f6qfhujc7u

Recovering Functional Mechanical Assemblies from Raw Scans

Minmin Lin, Tianjia Shao, Youyi Zheng, Niloy Jyoti Mitra, Kun Zhou
2018 IEEE Transactions on Visualization and Computer Graphics  
This paper presents a method to reconstruct a functional mechanical assembly from raw scans.  ...  We use a joint optimization to solve for the best geometry, placement, and orientation of each part, to obtain a final workable mechanical assembly.  ...  ACKNOWLEDGMENTS The authors would like to thank reviewers for their insightful comments. This work was supported in part by  ... 
doi:10.1109/tvcg.2017.2662238 pmid:28166500 fatcat:rewmerks4jfjpgzptefyqf6tda

Bayesian approach to single-tree detection in airborne laser scanning – use of training data for prior and likelihood modeling

Teemu Luostari, Timo Lähivaara, Petteri Packalen, Aku Seppänen
2018 Journal of Physics, Conference Series  
Bayesian approach to single-tree detection in airborne laser scanning -use of training data for prior and likelihood modeling Introduction Airborne laser scanning (ALS) is a widely used tool for remote  ...  In Section 3.3, the likelihood function is combined with a field measurement -based prior model for the model unknowns (crown shape parameters) to form the posterior density for the unknowns.  ... 
doi:10.1088/1742-6596/1047/1/012008 fatcat:yj4uanuhh5c47flei2ke7qx45y

An Application Oriented Scan-to-BIM Framework

Qian Wang, Jingjing Guo, Min-Koo Kim
2019 Remote Sensing  
This study proposes an application-oriented framework for scan-to-BIM, which describes the four major steps of a scan-to-BIM process and their relationships.  ...  Two illustrative examples are provided to demonstrate the feasibility of the proposed scan-to-BIM framework. Furthermore, future research directions within the scan-to-BIM framework are suggested.  ...  To further screen the scan data segments from region growing, prior knowledge of the size of a desk is utilized. Each scan data segment is registered to and compared to the actual shape of a desk.  ... 
doi:10.3390/rs11030365 fatcat:dmt35avq7vf6ljqrb2ex7skibi

POU-SLAM: Scan-to-Model Matching Based on 3D Voxels

Jianwen Jiang, Jikai Wang, Peng Wang, Zonghai Chen
2019 Applied Sciences  
Originality/value: We propose a novel, low-drift SLAM method that falls into a scan-to-model matching paradigm.  ...  Purpose: Localization and mapping with LiDAR data is a fundamental building block for autonomous vehicles.  ...  Conclusions We present a new 3D LiDAR SLAM method that is composed of a new feature voxel map and a new scan-to-model matching framework.  ... 
doi:10.3390/app9194147 fatcat:bquzj4s2andxnmpd7azawusigu
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