On segmenting the three-dimensional scan data of a human body

2000 ◽  
Vol 19 (8) ◽  
pp. 787-797 ◽  
Author(s):  
J.H. Nurre ◽  
J. Connor ◽  
E.A. Lewark ◽  
J.S. Collier
2019 ◽  
Vol 32 (3) ◽  
pp. 446-456
Author(s):  
Yeonghoon Kang ◽  
Sungmin Kim

Purpose The purpose of this paper is to develop a software can generate helmet mold from three-dimensional (3D) human body scan data. Design/methodology/approach An algorithm has been developed to divide data into arbitrary number of groups considering the width, length and height of head using the standard normal distribution theory. A basic helmet mold is generated automatically based on the shape of representative convex hull for each group. Findings It is possible to analyze the 3D human body scan data of groups with various characteristics and apply them to mass customized production of helmet. Practical implications This methodology can be applied for designing other products related to the head shape such as goggles and masks by varying the measurement items of the head. Social implications This methodology will enable mass customized production centered on consumers in the production and design of various equipment and goods to be worn on the head. Originality/value An algorithm has been developed to define the vertex point, which is the limit of scan data, for the analysis of 3D human body scan data scan data. In addition, a system was developed that can mass-produce customized products by effectively dividing groups while taking into account the physical characteristics of consumers.


2007 ◽  
Vol 07 (02) ◽  
pp. 255-272
Author(s):  
NAOUFEL WERGHI ◽  
YIJUN XIAO ◽  
PAUL SIEBERT

Whole human body scanners are 3D imaging devices which are capable of capturing a computerized format of whole body shape, thus permitting automatic extraction of the different body measurements. This requires the segmentation of scan data into subsets corresponding to the functional human body parts. Such a task is quite challenging due to the articulated and the deformable aspects of the human body shape. The attempts made so far suffer from various limitations, such as being restricted to standard specific posture and vulnerability to scan data corruption. This paper proposes a general framework that aims towards overcoming these challenges. One of the salient features of this framework is that it can cope with moderate posture variations around the standard posture, in addition of being quite robust against noise, holes and irregular sampling. Experimental results performed on real and synthetic data confirmed the validity, effectiveness and robustness of our framework.


Author(s):  
Tong Wensheng ◽  
Lu Lianhuang ◽  
Zhang Zhijun

This is a combined study of two diffirent branches, photogrammetry and morphology of blood cells. The three dimensional quantitative analysis of erythrocytes using SEMP technique, electron computation technique and photogrammetry theory has made it possible to push the study of mophology of blood cells from LM, TEM, SEM to a higher stage, that of SEM P. A new path has been broken for deeply study of morphology of blood cells.In medical view, the abnormality of the quality and quantity of erythrocytes is one of the important changes of blood disease. It shows the abnormal blood—making function of the human body. Therefore, the study of the change of shape on erythrocytes is the indispensable and important basis of reference in the clinical diagnosis and research of blood disease.The erythrocytes of one normal person, three PNH Patients and one AA patient were used in this experiment. This research determines the following items: Height;Length of two axes (long and short), ratio; Crevice in depth and width of cell membrane; Circumference of erythrocytes; Isoline map of erythrocytes; Section map of erythrocytes.


2021 ◽  
Vol 87 (5) ◽  
pp. 363-373
Author(s):  
Long Chen ◽  
Bo Wu ◽  
Yao Zhao ◽  
Yuan Li

Real-time acquisition and analysis of three-dimensional (3D) human body kinematics are essential in many applications. In this paper, we present a real-time photogrammetric system consisting of a stereo pair of red-green-blue (RGB) cameras. The system incorporates a multi-threaded and graphics processing unit (GPU)-accelerated solution for real-time extraction of 3D human kinematics. A deep learning approach is adopted to automatically extract two-dimensional (2D) human body features, which are then converted to 3D features based on photogrammetric processing, including dense image matching and triangulation. The multi-threading scheme and GPU-acceleration enable real-time acquisition and monitoring of 3D human body kinematics. Experimental analysis verified that the system processing rate reached ∼18 frames per second. The effective detection distance reached 15 m, with a geometric accuracy of better than 1% of the distance within a range of 12 m. The real-time measurement accuracy for human body kinematics ranged from 0.8% to 7.5%. The results suggest that the proposed system is capable of real-time acquisition and monitoring of 3D human kinematics with favorable performance, showing great potential for various applications.


Author(s):  
Elizabeth Anne Shotton

Purpose The harbours of Ireland, under threat from deterioration and rising sea levels, are being documented using terrestrial LiDAR augmented by archival research to develop comprehensive histories and timeline models for public dissemination. While methods to extract legible three-dimensional models from scan data have been developed and such operational formats for heritage management are imperative, the need for this format in interpretive visualisations should be reconsidered. The paper aims to discuss these issues. Design/methodology/approach Interpretive visualisations are forms of history making, where factual evidence is drawn together with conjecture to illustrate a plausible account of events, and differentiation between fact and conjecture is the key to their intellectual transparency. A procedure for superimposing conjectural reconstructions, generated using Rhinoceros and CloudCompare, on original scan data in Cyclone and visualised on a web-based viewer is discussed. Findings Embellishing scan data with conjectural elements to visualise the evolution of harbours is advantageous for both research and public dissemination. The accuracy and density of the scans enables the interrogation of the harbour form and the irregular details, the latter in danger of generalisation if translated into parametric or mesh format. Equally, the ethereal quality of the point cloud conveys a sense of tentativeness, consistent with a provisional hypothesis. Finally, coding conjectural elements allows users to intuit the difference between fact and historical narrative. Originality/value While various web-based point clouds viewers are used to disseminate research, the novelty here is the potential to develop didactic representations using point clouds that successfully capture a provisional thesis regarding each harbour’s evolution in an intellectually transparent manner to enable further inquiry.


Author(s):  
Peng Li ◽  
Peter R. M. Jones

Abstract There is an increasing need for computerized surface model of the human body in human growth, garment design and ergonomics. However, there is a shortage of three-dimensional (3-D) models of the human body in practical applications. This paper presents a new approach for constructing a 3-D surface model of the human torso using anthropometry. The torso is created by from a reference body of average shape which is represented by a family of cross-sectional curves. The shape and size of the reference body can be modified according to anthropometric data. This approach has been implemented on a personal computer. The resulting 3-D model is a parametric surface based on non-uniform B-splines and can easily be exported to other computer aided design applications.


Author(s):  
P. Allard ◽  
P.S. Thiry ◽  
M. Duhaime ◽  
G. Geoffroy

SUMMARY:Orthogonal stereoradiographs are frequently utilized in determining three-dimensional geometrical parameters of human body segments. They have been applied here in the estimation of the length and elongation of the ligaments of the normal foot. Three small spherical metallic markers were respectively encrusted into the tibia and fibula, the seven bones of the tarsus and into the five metatarsals of an amputed lower limb to identify uniquely their spatial location. The foot was then positioned on a rotating platform. Standardized antero-posterior and lateral radiographs were taken. Afterwards the foot was dissected and the proximal and distal insertions of most of its ligaments were located by means of spherical markers. A second series of orthogonal radiographs were taken of each of the fourteen bones. The radiographs were digitized. The length of each ligament and elongation for a simple and complex movements were calculated by means of a computer program. The results of a simple movement of rotation representing a normal 20° dorsiflexion at the talocrural joint and of complex movements of rotation simulating an abnormal high arch such as encountered in Friedreich’s ataxia are presented and discussed.


2020 ◽  
Vol 5 (41) ◽  
pp. eaaz7946 ◽  
Author(s):  
You Yu ◽  
Joanna Nassar ◽  
Changhao Xu ◽  
Jihong Min ◽  
Yiran Yang ◽  
...  

Existing electronic skin (e-skin) sensing platforms are equipped to monitor physical parameters using power from batteries or near-field communication. For e-skins to be applied in the next generation of robotics and medical devices, they must operate wirelessly and be self-powered. However, despite recent efforts to harvest energy from the human body, self-powered e-skin with the ability to perform biosensing with Bluetooth communication are limited because of the lack of a continuous energy source and limited power efficiency. Here, we report a flexible and fully perspiration-powered integrated electronic skin (PPES) for multiplexed metabolic sensing in situ. The battery-free e-skin contains multimodal sensors and highly efficient lactate biofuel cells that use a unique integration of zero- to three-dimensional nanomaterials to achieve high power intensity and long-term stability. The PPES delivered a record-breaking power density of 3.5 milliwatt·centimeter−2 for biofuel cells in untreated human body fluids (human sweat) and displayed a very stable performance during a 60-hour continuous operation. It selectively monitored key metabolic analytes (e.g., urea, NH4+, glucose, and pH) and the skin temperature during prolonged physical activities and wirelessly transmitted the data to the user interface using Bluetooth. The PPES was also able to monitor muscle contraction and work as a human-machine interface for human-prosthesis walking.


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