scholarly journals Semantic Segmentation of Human Model Using Heat Kernel and Geodesic Distance

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Huanyu Yang ◽  
Kuangrong Hao ◽  
Yongsheng Ding
Keyword(s):  
Heat Kernel ◽  
Human Body ◽  
Geodesic Distance ◽  
Semantic Segmentation ◽  
Point Clouds ◽  
Human Model ◽  
Feature Points ◽  
Human Body Model ◽  
Model Segmentation ◽  
Heat Kernel Signature

A novel approach of 3D human model segmentation is proposed, which is based on heat kernel signature and geodesic distance. Through calculating the heat kernel signature of the point clouds of human body model, the local maxima of thermal energy distribution of the model is found, and the set of feature points of the model is obtained. Heat kernel signature has affine invariability which can be used to extract the correct feature points of the human model in different postures. We adopt the method of geodesic distance to realize the hierarchical segmentation of human model after obtaining the semantic feature points of human model. The experimental results show that the method can overcome the defect of geodesic distance feature extraction. The human body models with different postures can be obtained with the model segmentation results of human semantic characteristics.

scholarly journals 3D Personalized Human Modeling and Deformation Technology for Garment CAD

2020 ◽  
Vol 18 (S3) ◽  
pp. 23-33
Author(s):  
Qi Jia ◽  
Kun Tian
Keyword(s):  
Human Body ◽  
Body Shape ◽  
Flow Characteristics ◽  
Human Model ◽  
Feature Points ◽  
Human Body Model ◽  
Size Change ◽  
Cad System ◽  
Feature Lines ◽  
Human Modeling

According to the design requirements of garment CAD system, this paper summarizes and analyzes the flow, characteristics and existing problems of existing human modeling algorithms, and proposes a 3D human modeling method based on section ring calculation, and realizes the dynamic modeling of human body driven by joint points. Firstly, the human body shape is classified to create a 3D human body shape template library. On the basis of extracting feature points and feature lines of the human model, the relationship between the size change and the feature points is calculated by using simple linear scaling ratio. Through the mathematical modeling of chest curve, waist hip curve and longitudinal datum line, the fitting curve results which reflect the curve characteristics and are convenient for subsequent clothing deformation are obtained. The algorithm is simple and efficient. It can not only accurately reproduce the surface static characteristics of the original scanned human body, but also change the dynamic characteristics of the human body interactively, which can meet the basic requirements of the human body model in the process of fashion design.

Comparing Segmentation Approaches for Learning-Aware Wireframe Generation on Human Model

2020 ◽  
Author(s):  
Jida Huang ◽  
Tsz-Ho Kwok
Keyword(s):  
Human Body ◽  
Research Question ◽  
Automatic Segmentation ◽  
Design Guidelines ◽  
Learning Performance ◽  
Human Model ◽  
Human Body Model ◽  
Segmentation Methods ◽  
Definition Of ◽  
Semantic Parameters

Abstract Wireframe has been proved very useful for learning human body from semantic parameters. However, the definition of the wireframe is highly dependent on the anthropological experiences of experts in previous works. Hence it is usually not easy to obtain a well-defined wireframe for a new set of human models in the available database. To overcome such difficulty, an automated wireframe generation method would be very helpful in relieving the need for manual anthropometric definition. In order to find such an automated wireframe designing method, a natural way is using automatic segmentation methods to divide the human body model into small mesh patches. Nevertheless, different segmentation approaches could have various segmented patches, thus resulting in various wireframes. How these wireframes affect human body learning performance? In this paper, we attempt to answer this research question by comparing different segmentation methods. Different wireframes are generated with the mesh segmentation methods, and then we use these wireframes as an intermediate agent to learn the relationship between the human body mesh models and the semantic parameters. We compared the reconstruction accuracy with different generated wireframe sets and summarized several meaningful design guidelines for developing an automatic wireframe-aware segmentation method for human body learning.

scholarly journals A multi-body human model for rear-impact simulation

2009 ◽  
Vol 223 (5) ◽  
pp. 623-638 ◽  
Author(s):  
S Himmetoglu ◽  
M Acar ◽  
K Bouazza-Marouf ◽  
A Taylor
Keyword(s):  
Human Body ◽  
Seat Belt ◽  
Impact Response ◽  
Human Model ◽  
Human Body Model ◽  
Head Restraint ◽  
Impact Simulation ◽  
Body Model ◽  
Rear Impact ◽  
Multi Body

This paper presents the validation of a 50th-percentile male multi-body human model specifically developed for rear-impact simulation. The aim is to develop a biofidelic model with the simplest architecture that can simulate the interaction of the human body with the seat during rear impact. The model was validated using the head-and-neck and torso responses of seven volunteers from the Japanese Automobile Research Institute sled tests, which were performed at an impact speed of 8km/h with a rigid seat and without head restraint and seat belt. The results indicate that the human-body model can effectively mimic the rear-impact response of a 50th-percentile male with a good level of accuracy and has the potential to predict whiplash injury.

scholarly journals Numerical Tests of the Virtual Human Model Response Under Dynamic Load Conditions Defined in Federal Aviation Regulation Part 23.562 and 25.562 – Preliminary Study

2016 ◽  
Vol 63 (4) ◽  
pp. 511-530
Author(s):  
Lukasz Lindstedt ◽  
Jan Vychytil ◽  
Tomasz Dziewonski ◽  
Ludek Hyncik
Keyword(s):  
Experimental Data ◽  
Human Body ◽  
Mechanical Response ◽  
Spinal Column ◽  
Vertical Component ◽  
Experimental Tests ◽  
Human Model ◽  
Human Body Model ◽  
Compression Load ◽  
Body Model

Abstract The main aim of the presented research was to check mechanical response of human body model under loads that can occur during airplane accidents and compare results of analysis with some results of experimental tests described in literature. In simulations, new multi-purpose human body model, the VIRTHUMAN, was used. The whole model, as well as its particular segments, was earlier validated based on experimental data, which proved its accuracy to simulate human body dynamic response under condition typical for car crashes, but it was not validated for loads with predominant vertical component (loads acting along spinal column), typical for airplane crashes. Due to limitation of available experimental data, the authors focused on conducting calculations for the case introduced in 14 CFR: Parts 23.562 and 25.562, paragraph (b)(1), knowing as the 60° pitch test. The analysis consists in comparison of compression load measured in lumbar section of spine of the FAA HIII Dummy (experimental model) and in the Virthuman (numerical model). The performed analyses show numerical stability of the model and satisfactory agreement between experimental data and simulated Virthuman responses. In that sense, the Virthuman model, although originally developed for automotive analyses, shows also great potential to become valuable tool for applications in aviation crashworthiness and safety analyses, as well.

Diffusion Geometry Derived Keypoints and Local Descriptors for 3D Deformable Shape Analysis

2020 ◽  
pp. 2150016
Author(s):  
Xupeng Wang ◽  
Mohammed Bennamoun ◽  
Ferdous Sohel ◽  
Hang Lei
Keyword(s):  
Scalar Field ◽  
Heat Kernel ◽  
Feature Detection ◽  
Geodesic Distance ◽  
Heat Propagation ◽  
Small Scale ◽  
Feature Descriptor ◽  
Local Surface ◽  
Diffusion Geometry ◽  
Heat Kernel Signature

Geometric analysis of three-dimensional (3D) surfaces with local deformations is a challenging task, required by mobile devices. In this paper, we propose a new local feature-based method derived from diffusion geometry, including a keypoint detector named persistence-based Heat Kernel Signature (pHKS), and a feature descriptor named Heat Propagation Strips (HeaPS). The pHKS detector first constructs a scalar field using the heat kernel signature function. The scalar field is generated at a small scale to capture fine geometric information of the local surface. Persistent homology is then computed to extract all the local maxima from the scalar field, and to provide a measure of persistence. Points with a high persistence are selected as pHKS keypoints. In order to describe a keypoint, an intrinsic support region is generated by the diffusion area. This support region is more robust than its geodesic distance counterpart, and provides a local surface with adaptive scale for subsequent feature description. The HeaPS descriptor is then developed by encoding the information contained in both the spatial and temporal domains of the heat kernel. We conducted several experiments to evaluate the effectiveness of the proposed method. On the TOSCA Dataset, the HeaPS descriptor achieved a high performance in terms of descriptiveness. The feature detector and descriptor were then tested on the SHREC 2010 Feature Detection and Description Dataset, and produced results that were better than the state-of-the-art methods. Finally, their application to shape retrieval was evaluated. The proposed pHKS detector and HeaPS descriptor achieved a notable improvement on the SHREC 2014 Human Dataset.

scholarly journals Analysis of individual differences in pelvic and spine alignment in seated posture and impact on the seatbelt kinematics using human body model

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254120
Author(s):  
Norihiro Nishida ◽  
Tomohiro Izumiyama ◽  
Ryusuke Asahi ◽  
Fei Jiang ◽  
Junji Ohgi ◽  
...  
Keyword(s):  
Human Body ◽  
Cervical Vertebrae ◽  
Seat Belt ◽  
Compressive Load ◽  
Human Model ◽  
Human Body Model ◽  
Finite Element Software ◽  
Posterior Tilt ◽  
Human Body Models ◽  
The Impact

Analysis using human body models has been performed to reduce the impact of accidents; however, no analysis has shown a relationship between lumbar and pelvic/spine angle and seat belts in reducing human damage from accidents. Lumbar and pelvic/spine angles were measured in 75 individuals and the measurements were used to create three different angles for the Total Human Model for Safety model. In the present study, we focused on lumber lordosis (LL) and pelvic angle (PA). A normal distribution and histogram were used for analysis of PA (01, 10, and 50). The Total Human Model for Safety, including LL and PA, was corrected using finite element software. Simulations were conducted under the conditions of the Japan New Car Assessment Programme (JNCAP) 56 kph full lap frontal impact. Using the results of the FEM, the amount of lap-belt cranial sliding-up, anterior movement of the pelvis, posterior tilt of the pelvis, head injury criterion (HIC), second cervical vertebrae (C2) compressive load, C2 moment, chest deflectiou (upper, middle, and lower), left and right femur load, and shoulder belt force were measured. The lap-belt cranial sliding-up was 1.91 and 2.37 for PA10 and PA01, respectively, compared to PA50; the anterior movement of the pelvis was 1.08 and 1.12 for PA10 and PA01, respectively; and the posterior tilt of the pelvis was 1.1 and 1.18 for PA10 and PA01, respectively. HIC was 1.13 for PA10 and 1.58 for PA01; there was no difference in C2 compressive load by PA, but C2 moment increased to 1.59 for PA10 and 2.72 for PA01. It was found that as LL increases and the PA decreases, the seat belt becomes likely to catch the iliac bone, making it harder to cause injury. This study could help to reconsider the safe seat and seatbelt position in the future.

A mixed human body modeling method based on 3D body scanning for clothing industry

2017 ◽  
Vol 29 (5) ◽  
pp. 673-685 ◽  
Author(s):  
Kaixuan Liu ◽  
Jianping Wang ◽  
Chun Zhu ◽  
Edwin Kamalha ◽  
Yan Hong ◽  
...  
Keyword(s):  
Human Body ◽  
Forward Modeling ◽  
Modeling Method ◽  
Clothing Industry ◽  
Human Model ◽  
Human Body Model ◽  
Content Type ◽  
Body Model ◽  
Human Body Modeling ◽  
Digital Human

Purpose The purpose of this paper is to propose a relatively simple and rapid method to create a digital human model (DHM) to serve clothing industry. Design/methodology/approach Human body’s point cloud is divided into hands, foots, head and torso. Then forward modeling method is used to model hands and foots, photo modeling method is used to model head and reverse modeling method is used to model torso. After that, hands, foots, head and torso are integrated together to get a static avatar. Next, virtual skeleton is bound to the avatar. Finally, a lifelike digital human body model is created by the mixed modeling method (MMM). Findings In allusion to the defect of the three-dimension original data of human body, this paper presented an MMM, with which we can get a realistic digital human body model with accurate body dimensions. The DHM can well meet the needs of fashion industry. Practical implications The DHM, which is got by the MMM, can be well applied in the field of virtual try on, virtual fashion design, virtual fashion show and so on. Originality/value The originality of the paper lies in the integration of forward modeling, reverse modeling and photo modeling to present a novel method of human body modeling.

Study and Realization of Three-Dimensional Human Body Modeling

2014 ◽  
Vol 532 ◽  
pp. 268-271
Author(s):  
Min Hu
Keyword(s):  
Human Body ◽  
Three Dimensional ◽  
Automatic Measurement ◽  
Human Model ◽  
Human Body Model ◽  
B Spline ◽  
Spline Curve ◽  
Automatic Measurement System ◽  
Human Modeling ◽  
Grid Surface

According to characteristic of garment mannequin, this paper puts forward the method of grid surface modeling for three-dimensional human body. Based on the analysis of fitting theory of B-spline curve and surface, it is presented that B-spline curve and surface is used for three-dimensional human modeling. The concrete processes of establishment of three-dimensional human body model are introduced. The results show that the three-dimensional human model which has been successfully achieved can satisfy the requirement of automatic measurement system.

scholarly journals Striped bodypainting protects against horseflies

2019 ◽  
Vol 6 (1) ◽  
pp. 181325 ◽  
Author(s):  
Gábor Horváth ◽  
Ádám Pereszlényi ◽  
Susanne Åkesson ◽  
György Kriska
Keyword(s):  
Human Body ◽  
Disease Transmission ◽  
Indigenous Communities ◽  
Human Model ◽  
Human Body Model ◽  
Black And White ◽  
Bright Yellow ◽  
Blood Sucking ◽  
Human Body Surface ◽  
Papua New Guinean

Bodypainting is widespread in African, Australian and Papua New Guinean indigenous communities. Many bodypaintings use white or bright yellow/grey/beige stripes on brown skin. Where the majority of people using bodypainting presently live, blood-sucking horseflies are abundant, and they frequently attack the naked brown regions of the human body surface with the risk of transmitting the pathogens of dangerous diseases. Since horseflies are deterred by the black and white stripes of zebras, we hypothesized that white-striped paintings on dark brown human bodies have a similar effect. In a field experiment in Hungary, we tested this hypothesis. We show that the attractiveness to horseflies of a dark brown human body model significantly decreases, if it is painted with the white stripes that are used in bodypaintings. Our brown human model was 10 times more attractive to horseflies than the white-striped brown model, and a beige model, which was used as a control, attracted two times more horseflies than the striped brown model. Thus, white-striped bodypaintings, such as those used by African and Australian people, may serve to deter horseflies, which is an advantageous byproduct of these bodypaintings that could lead to reduced irritation and disease transmission by these blood-sucking insects.

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