scholarly journals Filling cavities in point clouds representing human body surface using Bezier patches

2021 ◽  
Author(s):  
Marta Nowak ◽  
Jakub Michoński ◽  
Robert Sitnik
Keyword(s):  
Human Body ◽  
Input Data ◽  
Point Clouds ◽  
Scanning System ◽  
Sampling Density ◽  
Data Quality Assessment ◽  
Average Sampling ◽  
Processing Step ◽  
3D Geometry ◽  
Human Body Surface

AbstractIn this paper we introduce a cavity reconstructing algorithm for 3D surface scans (CRASS) developed for filling cavities in point clouds representing human body surfaces. The presented method uses Bezier patches to reconstruct missing data. The source of input data for the algorithm was an 8-directional structured light scanning system for the human body. Typical 3D scan representing human body consists of about 1 million points with average sampling density of 1 mm. The paper describes the complete scan processing pipeline: data pre-processing, boundary selection, cavity extraction and reconstruction, and a post-processing step to smooth and resample resulting geometry. The developed algorithm was tested on simulated and scanned 3D input data. Quality assessment was made based on simulated cavities, reconstructed using presented method and compared to original 3D geometry. Additionally, comparison to the state-of-the-art screened Poisson method is presented. Values’ ranges of parameters influencing result of described method were estimated for sample scans and comprehensively discussed. The results of the quantitative assessment of the reconstruction were lower than 0,5 of average sampling density.

Finding Approximate Shape Regularities for Reverse Engineering

2001 ◽  
Vol 1 (4) ◽  
pp. 282-290 ◽  
Author(s):  
F. C. Langbein ◽  
B. I. Mills ◽  
A. D. Marshall ◽  
R. R. Martin
Keyword(s):  
Reverse Engineering ◽  
Small Groups ◽  
Input Data ◽  
Boundary Representation ◽  
Range Data ◽  
Engineering Systems ◽  
Post Processing ◽  
Processing Step ◽  
3D Range Data

Current reverse engineering systems can generate boundary representation (B-rep) models from 3D range data. Such models suffer from inaccuracies caused by noise in the input data and algorithms. The quality of reverse engineered geometric models can be improved by finding candidate shape regularities in such a model, and constraining the model to meet a suitable subset of them, in a post-processing step called beautification. This paper discusses algorithms to detect such approximate regularities in terms of similarities between feature objects describing properties of faces, edges and vertices, and small groups of these elements in a B-rep model with only planar, spherical, cylindrical, conical and toroidal faces. For each group of similar feature objects they also seek special feature objects which may represent the group, e.g. an integer value which approximates the radius of similar cylinders. Experiments show that the regularities found by the algorithms include the desired regularities as well as spurious regularities, which can be limited by an appropriate choice of tolerances.

Ultrasensitive Measurements and Studies on Biophoton Emission from Human Body Surface I

1992 ◽  
pp. 428-428
Author(s):  
M. Usa ◽  
K. Kawase ◽  
T. Kimura ◽  
M. Kobayashi ◽  
K. Takaya ◽  
...  
Keyword(s):  
Body Surface ◽  
Human Body ◽  
Biophoton Emission ◽  
Human Body Surface

The Meridian-like High Thermal Line as the Evidence on Existence of Meridians in Human Body

2020 ◽  
Author(s):  
yongchol cha ◽  
hyok choe ◽  
songjin oh ◽  
zinhwa cha ◽  
zhang dong
Keyword(s):  
Nephrotic Syndrome ◽  
Human Body ◽  
Target Organ ◽  
Pulse Light ◽  
Target Organs ◽  
Acupuncture Meridian ◽  
Light Stimuli ◽  
Human Body Surface ◽  
Refractory Diseases ◽  
Thermal Line

Abstract Background; The acupuncture meridian is the channel through which Qi & Blood flow, and acupuncture is having many thousands year history for treating various illnesses. However, there was no powerful evidence to prove the existence of meridians until now. Objectives; The purpose of this study is to explain that the meridian-like high thermal line (MLHTL) is the powerful evidence to prove the existence of meridians in human body. Methods; The meridian-like high thermal line inducing and the disease cure effect in the target organs connected along the meridians by the mineral pulse light stimuli, was researched and analyzed. Results; The meridian-like high thermal lines were induced along the classic meridians course at the human body surface, and simultaneously the internal refractory diseases such as nephrotic syndrome and angina pectoris were treated in the target organs connected along the meridians without drug use by the mineral pulse light stimuli. Conclusions; The meridian-like high thermal line is the powerful evidence to prove the existence of meridians in human body. From now on, MPL stimulator (Version 1) can induce MLHTL, and can show the non-drug cure effect in target organ connected along MLHTL.

A New Kinect-Based Scanning System and its Application

2015 ◽  
Vol 764-765 ◽  
pp. 1375-1379 ◽  
Author(s):  
Cheng Tiao Hsieh
Keyword(s):  
Point Cloud ◽  
Depth Map ◽  
Bilateral Filter ◽  
Point Clouds ◽  
Digital Fabrication ◽  
Surface Model ◽  
Scanning System ◽  
3D Registration ◽  
Noise Point

This paper aims at presenting a simple approach utilizing a Kinect-based scanner to create models available for 3D printing or other digital manufacturing machines. The outputs of Kinect-based scanners are a depth map and they usually need complicated computational processes to prepare them ready for a digital fabrication. The necessary processes include noise filtering, point cloud alignment and surface reconstruction. Each process may require several functions and algorithms to accomplish these specific tasks. For instance, the Iterative Closest Point (ICP) is frequently used in a 3D registration and the bilateral filter is often used in a noise point filtering process. This paper attempts to develop a simple Kinect-based scanner and its specific modeling approach without involving the above complicated processes.The developed scanner consists of an ASUS’s Xtion Pro and rotation table. A set of organized point cloud can be generated by the scanner. Those organized point clouds can be aligned precisely by a simple transformation matrix instead of the ICP. The surface quality of raw point clouds captured by Kinect are usually rough. For this drawback, this paper introduces a solution to obtain a smooth surface model. Inaddition, those processes have been efficiently developed by free open libraries, VTK, Point Cloud Library and OpenNI.

Method for transient heat flux determination in human body surface using a direct calorimetry sensor

Measurement ◽  
2019 ◽  
Vol 139 ◽  
pp. 1-9 ◽  
Author(s):  
Pedro Jesús Rodríguez de Rivera ◽  
Miriam Rodríguez de Rivera ◽  
Fabiola Socorro ◽  
Manuel Rodríguez de Rivera
Keyword(s):  
Heat Flux ◽  
Body Surface ◽  
Human Body ◽  
Direct Calorimetry ◽  
Human Body Surface ◽  
Transient Heat Flux ◽  
Flux Determination
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