scholarly journals Infrared Laser Speckle Projection-Based Multi-Sensor Collaborative Human Body Automatic Scanning System

Machines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 299
Author(s):  
Xiao Yang ◽  
Juntong Xi ◽  
Jingyu Liu ◽  
Xiaobo Chen
Keyword(s):  
Human Body ◽  
Laser Scanning ◽  
Near Infrared ◽  
Infrared Laser ◽  
Laser Speckle ◽  
Scanning System ◽  
Single Shot ◽  
Cloud Data ◽  
Body Scanning ◽  
Local Point

Human body scanning is an important means to build a digital 3D model of the human body, which is the basis for intelligent clothing production, human obesity analysis, and medical plastic surgery applications, etc. Comparing to commonly used optical scanning technologies such as laser scanning and fringe structured light, infrared laser speckle projection-based 3D scanning technology has the advantages of single-shot, simple control, and avoiding light stimulation to human eyes. In this paper, a multi-sensor collaborative digital human body scanning system based on near-infrared laser speckle projection is proposed, which occupies less than 2 m2 and has a scanning period of about 60 s. Additionally, the system calibration method and control scheme are proposed for the scanning system, and the serial-parallel computing strategy is developed based on the unified computing equipment architecture (CUDA), so as to realize the rapid calculation and automatic registration of local point cloud data. Finally, the effectiveness and time efficiency of the system are evaluated through anthropometric experiments.

Near-Infrared Laser Scanning (NILS) to Differentiate Historical Inks, Deployed on a Stained and Faded Ninth-Century Fragment of Boethius Reused as Binding Material: Proving a Concept

2016 ◽  
Vol 37 (1) ◽  
pp. 1-13
Author(s):  
Alessandra Sorbello Staub ◽  
Johannes Staub ◽  
Inga Richter ◽  
Marc Birringer
Keyword(s):  
Laser Scanning ◽  
Near Infrared ◽  
Laser Scanner ◽  
Ninth Century ◽  
Infrared Laser ◽  
Laser Fluorescence ◽  
Excitation Wavelength ◽  
Scanning System ◽  
New Information ◽  
Infrared Reflectography

AbstractIn this paper we describe the use of a dual-wavelength near-infrared laser scanner (NILS) to reveal ink differences in a ninth century Boethius fragment. The scanning system worked at 680 and 780 nm excitation wavelength with a maximal resolution of 21 µm. Fresh images were recorded at both wavelengths and compared with others based on conventional methods, such as UV photography and infrared reflectography. Whereas the latter secured no new information for mapping and distinguishing via inks the layered genesis of the manuscript, images of the fragment based on infrared laser fluorescence revealed the different inks used to elaborate the manuscript. The method revealed and distinguished the respective inks used for glosses, other marginal notes, neumes and the main text. Furthermore, corrections and additions invisible under other types of light were discovered by NILS in combination with paleographic methods. The scope and limitations of NILS when used to investigate stained or faded reused parchment (Makulatur) and/or restored manuscripts are discussed in detail.

Design of Light-Small Mobile 3D Laser Measurement System

2013 ◽  
Vol 405-408 ◽  
pp. 3032-3036
Author(s):  
Yi Bo Sun ◽  
Xin Qi Zheng ◽  
Zong Ren Jia ◽  
Gang Ai
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Laser Scanner ◽  
Digital Camera ◽  
Scanning System ◽  
Point Cloud Data ◽  
3D Laser Scanning ◽  
Large Area ◽  
Cloud Data ◽  
Laser Scanning System

At present, most of the commercial 3D laser scanning measurement systems do work for a large area and a big scene, but few shows their advantage in the small area or small scene. In order to solve this shortage, we design a light-small mobile 3D laser scanning system, which integrates GPS, INS, laser scanner and digital camera and other sensors, to generate the Point Cloud data of the target through data filtering and fusion. This system can be mounted on airborne or terrestrial small mobile platform and enables to achieve the goal of getting Point Cloud data rapidly and reconstructing the real 3D model. Compared to the existing mobile 3D laser scanning system, the system we designed has high precision but lower cost, smaller hardware and more flexible.

Single-shot, time-resolved damage of single-crystal YAG using femtosecond near-infrared laser

2021 ◽  
Author(s):  
Michael Tripepi ◽  
Noah Talisa ◽  
Emma DeAngelis ◽  
Enam A. Chowdhury
Keyword(s):  
Single Crystal ◽  
Near Infrared ◽  
Infrared Laser ◽  
Single Shot ◽  
Time Resolved

Rules Research on Width of Pieces of Pants

2011 ◽  
Vol 215 ◽  
pp. 249-253
Author(s):  
B.F. Gu ◽  
J.Q. Su ◽  
H.Y. Kong ◽  
Guo Lian Liu
Keyword(s):  
Human Body ◽  
Measurement System ◽  
Point Cloud ◽  
Pattern Generation ◽  
Regression Equation ◽  
Body Measurement ◽  
3D Point Cloud ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Body Scanning

. Based on 3D point-cloud data of human body, this paper probes rules research on width of pieces of pants. First, get the point-cloud figure of the studies through scanning the human body by 3D body scanning device (symcad). Read and optimize the point-cloud data by imageware software and obtain the total girth and the front/back girth of waist, abdomen, buttocks, thigh, knee and ankle. Then set the coefficients to establish the regression equation by using SPSS. Finally, verify the above-mentioned method through other studies to illustrate its feasibility. This study completes part of the work for the conversion from 3D garment pattern to 2D, to make up that the 2D non-contact body measurement system cannot directly obtain 3D sizes, and provides the basis for automatically pattern generation of pants.

Investigation of Textile Materials for Laser Light Beam Scanning

2011 ◽  
Vol 222 ◽  
pp. 40-43 ◽  
Author(s):  
Inga Dabolina ◽  
Ausma Vilumsone ◽  
Juris Blums
Keyword(s):  
Laser Beam ◽  
Light Beam ◽  
Human Body ◽  
Laser Scanning ◽  
Material Selection ◽  
Scanning System ◽  
Angle Of Incidence ◽  
Beam Scanning ◽  
Textile Materials ◽  
Beam Reflection

The scanning of human body as a method for gaining human measurements has several preferences. The gathering of data is possible in a very short time. In comparison to manual measuring methods, scanning acquires a larger amount of measurements. There are several modes of gaining human body measurements using the scanning system: laser scanning, light beam scanning, etc. A research on the laser beam reflection capabilities on different textile materials has been performed. The description of laser reflections has been compared to the Lambert’s law’s characteristics. The matrix of material selection is made in the process of planning the experiment and all possible materials are presented in this matrix. Eight textile materials are chosen for the experimental work: six lingerie and two additional materials. A laser beam with an angle of incidence of 0º and 45º is used to make the experiment. The dependence of the results on the wavelength of laser beams has also been compared.

scholarly journals An Improved Convolution Neural Network-Based Model for Classifying Foliage and Woody Components from Terrestrial Laser Scanning Data

2020 ◽  
Vol 12 (6) ◽  
pp. 1010 ◽  
Author(s):  
Bingxiao Wu ◽  
Guang Zheng ◽  
Yang Chen
Keyword(s):  
Neural Network ◽  
Laser Scanning ◽  
Forest Canopy ◽  
Evaluation Method ◽  
Terrestrial Laser Scanning ◽  
Structural Features ◽  
Convolution Neural Network ◽  
Batch Size ◽  
Cloud Data ◽  
Local Point

Separating foliage and woody components can effectively improve the accuracy of simulating the forest eco-hydrological processes. It is still challenging to use deep learning models to classify canopy components from the point cloud data collected in forests by terrestrial laser scanning (TLS). In this study, we developed a convolution neural network (CNN)-based model to separate foliage and woody components (FWCNN) by combing the geometrical and laser return intensity (LRI) information of local point sets in TLS datasets. Meanwhile, we corrected the LRI information and proposed a contribution score evaluation method to objectively determine hyper-parameters (learning rate, batch size, and validation split rate) in the FWCNN model. Our results show that: (1) Correcting the LRI information could improve the overall classification accuracy (OA) of foliage and woody points in tested broadleaf (from 95.05% to 96.20%) and coniferous (from 93.46% to 94.98%) TLS datasets (Kappa ≥ 0.86). (2) Optimizing hyper-parameters was essential to enhance the running efficiency of the FWCNN model, and the determined hyper-parameter set was suitable to classify all tested TLS data. (3) The FWCNN model has great potential to classify TLS data in mixed forests with OA > 84.26% (Kappa ≥ 0.67). This work provides a foundation for retrieving the structural features of woody materials within the forest canopy.

Validation of near-infrared laser speckle imaging for assessing microvascular (re)perfusion

2010 ◽  
Vol 79 (2) ◽  
pp. 139-143 ◽  
Author(s):  
Rick Bezemer ◽  
Eva Klijn ◽  
Mostafa Khalilzada ◽  
Alexandre Lima ◽  
Michal Heger ◽  
...  
Keyword(s):  
Near Infrared ◽  
Infrared Laser ◽  
Laser Speckle ◽  
Laser Speckle Imaging ◽  
Speckle Imaging
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