Simple 3D laser scanner for anatomical parts and image reconstruction from unorganized range data

2003 ◽  
Author(s):  
G. Tognola ◽  
M. Parazzini ◽  
P. Ravazzani ◽  
F. Grandori ◽  
C. Svelto
Keyword(s):  
Image Reconstruction ◽  
Laser Scanner ◽  
Range Data

scholarly journals Directional-TV Algorithm for Image Reconstruction from Limited-Angular-Range Data

2021 ◽  
pp. 102030
Author(s):  
Zheng Zhang ◽  
Buxin Chen ◽  
Dan Xia ◽  
Emil Y. Sidky ◽  
Xiaochuan Pan
Keyword(s):  
Image Reconstruction ◽  
Range Data ◽  
Angular Range

scholarly journals ASPECTS OF BIODETERIORATION OF LAPIDEOUS SUBMERGED ARTEFACTS: 3D METHODOLOGIES APPLICATION

2015 ◽  
Vol XL-5/W5 ◽  
pp. 191-194 ◽  
Author(s):  
S. Ricci ◽  
F. Antonelli ◽  
C. Sacco Perasso
Keyword(s):  
Imaging Techniques ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Optical Microscope ◽  
Range Data ◽  
Starting Point ◽  
Video Microscope ◽  
In Situ Degradation ◽  
Close Range ◽  
Underwater Laser

Submerged stone archaeological artefacts are bioeroded by endolithic microbiota (cyanobacteria, algae and fungi) and macroborers (Porifera, Bivalvia and Sipuncula). Optical microscope and SEM observations permit to analyse the bioerosion traces and to identify bioeroders. Data obtained with these techniques cannot be used to estimate volumes of material bioeroded. This aspect require the need to collect three-dimensional, close-range data from artefact. In this work we illustrate two 3D imaging techniques used to study bioerosion phenomena of underwater Cultural Heritage. In particular Digital Video Microscope permit the elaboration of 3D images, which are widely employed for close-range acquisitions. Underwater Laser Scanner documents the in situ degradation of submerged artefacts. This research aims to sensitize specialist figures in the study 3D offering a starting point for future collaborations that could lead to interesting results.

scholarly journals A procedure for point clouds matching from range data and image-based systems

ACTA IMEKO ◽  
2017 ◽  
Vol 6 (3) ◽  
pp. 57 ◽  
Author(s):  
Andrea Angelini ◽  
Damiano Portarena
Keyword(s):  
Laser Scanning ◽  
Numerical Models ◽  
Methodological Approach ◽  
Laser Scanner ◽  
Numerical Data ◽  
Point Clouds ◽  
Range Data ◽  
Survey Techniques ◽  
Meshing Process ◽  
Different Sources

<p class="Abstract"><span lang="EN-US">Most of the survey techniques used in archaeology and architecture are focused on range-data (laser scanning) and image-based systems (digital photogrammetry). The paper aims to highlight a different methodological approach in the acquisition and processing procedures of the numerical data. The proposed methodology suggests an alternative way to match point clouds from laser scanner and image-based systems, exploiting the properties of the ICP algorithms. Some tests were performed at different scale in order to achieve the suitable procedure, evidencing the differences with the classic employed methods. The figures show this comparison and the making of the new procedure. The results are very interesting and concerned the merging of the numerical models from different sources. The correct position of the points in space aids the next step of the surface reconstruction (meshing process) and the final 2D representation.</span></p>

Accurate Vehicle Localization using DTW between Range Data Map and Laser Scanner Data Sequences

2007 ◽  
Author(s):  
Nao Shibuhisa ◽  
Junji Sato ◽  
Tomokazu Takahashi ◽  
Ichiro Ide ◽  
Hiroshi Murase ◽  
...  
Keyword(s):  
Laser Scanner ◽  
Range Data ◽  
Scanner Data ◽  
Vehicle Localization

scholarly journals Information Fusion for Cultural Heritage Three-Dimensional Modeling of Malay Cities

2020 ◽  
Vol 9 (3) ◽  
pp. 177 ◽  
Author(s):  
Norzailawati Mohd Noor ◽  
Illyani Ibrahim ◽  
Alias Abdullah ◽  
Ahmad Afiq Aiman Abdullah
Keyword(s):  
Information Technologies ◽  
Laser Scanning ◽  
Local Development ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Range Data ◽  
Three Dimensional Modeling ◽  
Societal Challenges ◽  
City Model ◽  
Artistic Values

Malaysia’s heritage structures are facing challenges due to rapid local development and societal challenges that threaten their cultural and artistic values. Improving conservation approaches in this context is an urgent and crucial task. The application of geo-information technologies in laser scanning, photogrammetry, and geographic information systems (GISs) has significantly improved these conservation approaches. In this study, we fused drone images and range data from a laser scanner to construct a high-resolution three-dimensional GIS city model for one traditional Malay settlement located in Malaysia. The results showed that fusing photogrammetry and laser scanning can effectively capture the architectural uniqueness of Malay buildings, including specific façade geometries on walls, roofs, and motifs. The findings show that the development of various geoinformation approaches can assist with the conservation of Malay city heritage in this region.

Acquisition And Processing Of Range Data Using A Laser Scanner-Based 3-D Vision System

1988 ◽  
Author(s):  
I. Moring ◽  
H. Ailisto ◽  
T. Heikkinen ◽  
A. Kilpela ◽  
R. Myllyla ◽  
...  
Keyword(s):  
Vision System ◽  
Laser Scanner ◽  
Range Data

Segmentation of ordered point cloud using a novel measure of terrain unevenness

Sensor Review ◽  
2017 ◽  
Vol 37 (1) ◽  
pp. 88-100 ◽  
Author(s):  
Satish Kumar Reddy ◽  
Prabir K. Pal
Keyword(s):  
Point Cloud ◽  
Autonomous Robots ◽  
Robot Navigation ◽  
Laser Scanner ◽  
Region Growing ◽  
Threshold Value ◽  
Range Data ◽  
Content Type ◽  
Beam Laser ◽  
Scan Registration

Purpose This paper aims to present object or feature segmentation from an ordered 3D point cloud range data obtained from a laser scanner for the purpose of robot navigation. Design/methodology/approach Rotating multi-beam laser scanners provide ordered 3D range data. Differences between consecutive ranges in radial direction are used to compute a novel measure of terrain unevenness at each data point. Computed over a complete rotation, an unevenness field is formed surrounding the scanner. A part of this field staying below a threshold is recognized as ground and removed. Remaining non-ground points are segmented into objects by region growing with points whose unevenness lies within pre-specified limiting values. Findings The proposed unevenness attribute is simple and efficient for segmenting distinct objects or features. The fineness of surface features can be regulated by adjusting the threshold value of difference in unevenness between neighbouring points that triggers an onset of new segments. Research limitations/implications The angles between neighbouring laser range data are assumed to be known. Practical implications Segmented objects or features can be used for scan registration, object tracking and robot navigation. Social implications The method may find use in autonomous robots and driverless cars. Originality/value Differences between consecutive range data are used imaginatively to derive a novel measure of terrain unevenness, which in turn, is used for efficient segmentation of objects and features.

scholarly journals Dual-energy CT imaging over non-overlapping, orthogonal arcs of limited-angular ranges

2021 ◽  
pp. 1-11
Author(s):  
Buxin Chen ◽  
Zheng Zhang ◽  
Dan Xia ◽  
Emil Y. Sidky ◽  
Xiaochuan Pan
Keyword(s):  
Image Reconstruction ◽  
Dual Energy ◽  
Ct Imaging ◽  
Dual Energy Ct ◽  
Range Data ◽  
Angular Range ◽  
Scan Time ◽  
Reference Images ◽  
Effective Atomic Numbers ◽  
Relative Errors

BACKGROUND: Interest exists in dual-energy computed tomography (DECT) imaging with scanning arcs of limited-angular ranges (LARs) for reducing scan time and radiation dose, and for enabling scan configurations of C-arm CT that can avoid possible collision between the rotating X-ray tube/detector and the imaged subject. OBJECTIVE: In this work, we investigate image reconstruction for a type of configurations of practical DECT interest, referred to as the two-orthogonal-arc configuration, in which low- and high-kVp data are collected over two non-overlapping arcs of equal LAR α, ranging from 30° to 90°, separated by 90°. The configuration can readily be implemented, e.g., on CT with dual sources separated by 90° or with the slow-kVp-switching technique. METHODS: The directional-total-variation (DTV) algorithm developed previously for image reconstruction in conventional, single-energy CT is tailored to enable image reconstruction in DECT with two-orthogonal-arc configurations. RESULTS: Performing visual inspection and quantitative analysis of monochromatic images obtained and effective atomic numbers estimated, we observe that the monochromatic images of the DTV algorithm from LAR data are with substantially reduced LAR artifacts, which are observed otherwise in those of existing algorithms, and thus visually correlate reasonably well, in terms of metrics PCC and nMI, with their reference images obtained form full-angular-range data. In addition, effective atomic numbers estimated from LAR data of DECT with two-orthogonal-arc configurations are in reasonable agreement, with relative errors up to ∼  10%, with those estimated from full-angular-range data in DECT. CONCLUSIONS: The results acquired in the work may yield insights into the design of LAR configurations of practical dual-energy application relevance in diagnostic CT or C-arm CT imaging.

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