scholarly journals The Roman pier of San Cataldo: from archaeological data to 3D reconstruction

2019 ◽  
Vol 10 (20) ◽  
pp. 28 ◽  
Author(s):  
Ivan Ferrari ◽  
Aurora Quarta
Keyword(s):  
3D Reconstruction ◽  
Three Dimensional ◽  
Reconstruction Process ◽  
Aerial Photos ◽  
Archaeological Data ◽  
Production Pipeline ◽  
Starting Point ◽  
Adriatic Coast ◽  
Surrounding Landscape ◽  
Roman Age

<p>The pier of San Cataldo (Lecce, Italy) is located along the Adriatic coast about 10 km east-northeast of the ancient city of Lupiae, (today's Lecce), and is the best-preserved port structure of the Roman Age in Apulia. It was researched between 2004 and 2007 by the Laboratory of Topography and Photogrammetry (LabTAF) of the University of Salento, who produced a detailed analysis of the remain and a survey of the portion still visible on the mainland. At the same time, aerial surveys and the study of historic aerial photos from the 1940s and 50s supported a topographic study of the site. Since 2013, within the activities of the LabTAF, the structure has been the subject of an excavation campaign where a further portion of the pier was discovered in the mainland, and the underwater remains were documented. This contribution aims to emphasise the importance of collecting complete metric and historical-archaeological data for a proper three-dimensional (3D) reconstruction of the structure. On this occasion a photogrammetric survey was conducted and a 3D image-based model created that has become the starting point of the reconstruction hypothesis of the pier and its topographical context. The final model represents a reasonable synthesis of the interpretation of the collected data, and serves as a starting point for tackling the future integration or modification of the structure.</p><p><strong>Highlights:</strong></p><ul><li><p>A key requirement for a better understanding of the Roman pier of San Cataldo (Lecce, Italy) was the creation of a 3D model from an image-based survey.</p></li><li><p>The 3D reconstruction process of the monument was based on a production pipeline anchored to metric data and historical-archaeological information.</p></li><li><p>The final 3D reconstruction proposal shows the original shape of the Roman pier, the ancient surrounding landscape and its related activities.</p></li></ul>

Detection, Averaging, and 3D Reconstruction of Biological Specimens on Hypercubes (Transputer-based) Computers

1990 ◽  
Vol 48 (1) ◽  
pp. 454-455
Author(s):  
Jose-Maria Carazo ◽  
I. Benavides ◽  
S. Marco ◽  
J.L. Carrascosa ◽  
E.L. Zapata
Keyword(s):  
3D Reconstruction ◽  
3D Structure ◽  
Three Dimensional ◽  
Software Tools ◽  
Mapping Method ◽  
Computer Architectures ◽  
Parallel Computer ◽  
Reconstruction Process ◽  
Computing Power ◽  
Order Of Magnitude

Obtaining the three-dimensional (3D) structure of negatively stained biological specimens at a resolution of, typically, 2 - 4 nm is becoming a relatively common practice in an increasing number of laboratories. A combination of new conceptual approaches, new software tools, and faster computers have made this situation possible. However, all these 3D reconstruction processes are quite computer intensive, and the middle term future is full of suggestions entailing an even greater need of computing power. Up to now all published 3D reconstructions in this field have been performed on conventional (sequential) computers, but it is a fact that new parallel computer architectures represent the potential of order-of-magnitude increases in computing power and should, therefore, be considered for their possible application in the most computing intensive tasks.We have studied both shared-memory-based computer architectures, like the BBN Butterfly, and local-memory-based architectures, mainly hypercubes implemented on transputers, where we have used the algorithmic mapping method proposed by Zapata el at. In this work we have developed the basic software tools needed to obtain a 3D reconstruction from non-crystalline specimens (“single particles”) using the so-called Random Conical Tilt Series Method. We start from a pair of images presenting the same field, first tilted (by ≃55°) and then untilted. It is then assumed that we can supply the system with the image of the particle we are looking for (ideally, a 2D average from a previous study) and with a matrix describing the geometrical relationships between the tilted and untilted fields (this step is now accomplished by interactively marking a few pairs of corresponding features in the two fields). From here on the 3D reconstruction process may be run automatically.

A Self-Supervised Learning Technique for Road Defects Detection Based on Monocular Three-Dimensional Reconstruction

2019 ◽  
Author(s):  
Yazhe Hu ◽  
Tomonari Furukawa
Keyword(s):  
3D Reconstruction ◽  
Supervised Learning ◽  
Surface Defects ◽  
Three Dimensional ◽  
Road Surface ◽  
Class Prediction ◽  
Reconstruction Process ◽  
Learning Technique ◽  
Dimensional Reconstruction ◽  
Network Output

Abstract This paper presents a self-supervised learning technique for road surface defects detection using a monocular camera. The uniqueness of the proposed technique relies on its self-supervised learning structure which is achieved by combining physics-driven three-dimensional (3D) reconstruction with data-driven Convolutional Neural Network (CNN). Only images from one camera are needed as the inputs to the model without human labeling. The 3D point cloud are reconstructed from input images based on a near-planar road 3D reconstruction process to self-supervise the learning process. During testing, the network receives images and predicts the images as defect or non-defect. A refined class prediction is produced by combining the 3D road surface data with the network output when the belief of original network prediction is not strong enough to conclude the classification. Experiments are conducted on real road surface images to find the optimal parameters for this model. The testing results demonstrate the robustness and effectiveness of the proposed self-supervised road surface defects detection technique.

scholarly journals Degenerate Near-Planar 3D Reconstruction from Two Overlapped Images for Road Defects Detection

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1640
Author(s):  
Yazhe Hu ◽  
Tomonari Furukawa
Keyword(s):  
3D Reconstruction ◽  
Surface Defects ◽  
Three Dimensional ◽  
Recall Rate ◽  
Reconstruction Error ◽  
Vertical Movement ◽  
Road Surface ◽  
Reconstruction Process ◽  
The Road ◽  
Road Surfaces

This paper presents a technique to reconstruct a three-dimensional (3D) road surface from two overlapped images for road defects detection using a downward-facing camera. Since some road defects, such as potholes, are characterized by 3D geometry, the proposed technique reconstructs road surfaces from the overlapped images prior to defect detection. The uniqueness of the proposed technique lies in the use of near-planar characteristics of road surfaces‘ in the 3D reconstruction process, which solves the degenerate road surface reconstruction problem. The reconstructed road surfaces thus result from the richer information. Therefore, the proposed technique detects road surface defects based on the accuracy-enhanced 3D reconstruction. Parametric studies were first performed in a simulated environment to analyze the 3D reconstruction error affected by different variables and show that the reconstruction errors caused by the camera’s image noise, orientation, and vertical movement are so small that they do not affect the road defects detection. Detailed accuracy analysis then shows that the mean and standard deviation of the errors are less than 0.6 mm and 1 mm through real road surface images. Finally, on-road tests demonstrate the effectiveness of the proposed technique in identifying road defects while having over 94% in precision, accuracy, and recall rate.

scholarly journals 3D Reconstruction Based on Fusing Active Structured Laser and Passive Stereo Techniques

2020 ◽  
Vol 23 (3) ◽  
pp. 277-288
Author(s):  
Shahad A. Al-Saqal ◽  
Ali A. Al-Temeemy
Keyword(s):  
3D Reconstruction ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Scanning System ◽  
Fusion Method ◽  
Reconstruction Process ◽  
Reconstruction Performance ◽  
Dimensional Reconstruction ◽  
Real Objects ◽  
Laser Scanning System

Three-dimensional reconstruction of real objects comprises capturing the appearance and the shape for these objects and determining the three-dimensional coordinates for their profiles. This reconstruction process can be accomplished either by using active or passive techniques. In this paper, a new fusion method is proposed for 3D reconstruction. This method exploits the advantages of both stereo-based passive and laser-based active techniques and overcomes their limitations to improve the performance of 3D reconstruction. With this method, a hybrid laser-based structured light scanning system is designed and implemented. This system captures the required information using passive and active techniques and uses the proposed fusion method for 3D reconstruction. The performance of the proposed method and its scanning system were experimentally evaluated. The evaluation results show high reconstruction performance for the proposed fusion method over the traditional 3D reconstruction techniques. The results also show the effectiveness of the hybrid laser scanning system and its ability to scan and reconstruct the shape and the appearance for real objects using the proposed fusion method.

scholarly journals REKONTRUKSI MODEL 3D DARI BANYAK GAMBAR MENGGUNAKAN ALGORITMA STRUCTURE FROM MOTION (SFM) DAN MULTI VIEW STEREO (MVS) BERBASIS COMPUTER VISION

2020 ◽  
Vol 3 (2) ◽  
pp. 108-113
Author(s):  
Moch.d Kholil ◽  
Ismanto Ismanto ◽  
M. Nur Fu’ad
Keyword(s):  
3D Reconstruction ◽  
3D Modeling ◽  
Structure From Motion ◽  
3D Model ◽  
Three Dimensional ◽  
Original Image ◽  
Architecture Education ◽  
Reconstruction Process ◽  
3D Objects ◽  
3D Model Reconstruction

With the development of the field of Information and Computer Technology (ICT), three-dimensional technology (3D) is also growing rapidly. Currently, the need to visualize 3D objects is widely used in animation and graphics applications, architecture, education, cultural recognition and virtual reality. 3D modeling of historical buildings has become a concern in recent years. 3D reconstruction is a documentation effort for reconstruction or restoration if the building is destroyed. By using a 3D model reconstruction approach based on multiple images using the Structure From Motion (SFM) and Multi View Stereo (MVS) algorithm, it is hoped that the 3D modeling results can be used as an effort to preserve 3D objects in the cultural heritage area of Penataran Temple. This research was conducted by taking an object in the form of photos as many as 61 pictures in the area of ​​the Blitar Penataran Temple. The resulting photos are reconstructed into a 3D model using the Structure From Motion algorithm in the meshroom. In this study, a test was carried out on the original image with the compressed image for reconstruction to be compared to the 3D reconstruction process from the two input data. From 61 images processed using the Structure Form Motion algorithm, 33 camera pose and 3D point data were obtained, both original and compressed images. For the number of iterations the compressed image is 1.4% less than the original image and takes 43.53% faster than the original image.  

3D reconstruction and calculation of surface area and volume of bell pepper

2007 ◽  
Vol 3 (1) ◽  
pp. 89-113
Author(s):  
Zoltán Gillay ◽  
László Fenyvesi
Keyword(s):  
3D Reconstruction ◽  
Surface Area ◽  
Three Dimensional ◽  
Reference Method ◽  
Bell Pepper ◽  
Three Dimensional Model ◽  
Acceptable Error ◽  
Volume Calculation ◽  
Bell Peppers ◽  
Area And Volume

There was a method developed that generates the three-dimensional model of not axisymmetric produce, based on an arbitrary number of photos. The model can serve as a basis for calculating the surface area and the volume of produce. The efficiency of the reconstruction was tested on bell peppers and artificial shapes. In case of bell peppers 3-dimensional reconstruction was created from 4 images rotated in 45° angle intervals. The surface area and the volume were estimated on the basis of the reconstructed area. Furthermore, a new and simple reference method was devised to give precise results for the surface area of bell pepper. The results show that this 3D reconstruction-based surface area and volume calculation method is suitable to determine the surface area and volume of definite bell peppers with an acceptable error.

Three-dimensional Reconstruction of Microscopic Image Based on Multi-ST Algorithm

2020 ◽  
Vol 64 (2) ◽  
pp. 20506-1-20506-7
Author(s):  
Min Zhu ◽  
Rongfu Zhang ◽  
Pei Ma ◽  
Xuedian Zhang ◽  
Qi Guo
Keyword(s):  
3D Reconstruction ◽  
Three Dimensional ◽  
Scale Model ◽  
Microscopic Image ◽  
Multi Scale ◽  
Gaussian Pyramid ◽  
Cost Aggregation ◽  
Dimensional Reconstruction ◽  
Image Pairs ◽  
Accurate Matching

Abstract Three-dimensional (3D) reconstruction is extensively used in microscopic applications. Reducing excessive error points and achieving accurate matching of weak texture regions have been the classical challenges for 3D microscopic vision. A Multi-ST algorithm was proposed to improve matching accuracy. The process is performed in two main stages: scaled microscopic images and regularized cost aggregation. First, microscopic image pairs with different scales were extracted according to the Gaussian pyramid criterion. Second, a novel cost aggregation approach based on the regularized multi-scale model was implemented into all scales to obtain the final cost. To evaluate the performances of the proposed Multi-ST algorithm and compare different algorithms, seven groups of images from the Middlebury dataset and four groups of experimental images obtained by a binocular microscopic system were analyzed. Disparity maps and reconstruction maps generated by the proposed approach contained more information and fewer outliers or artifacts. Furthermore, 3D reconstruction of the plug gauges using the Multi-ST algorithm showed that the error was less than 0.025 mm.

scholarly journals Second sacral sacralalar‐iliac (S2AI) screw placement in adult degenerative scoliosis (ADS) patients: an imaging study

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bing Wu ◽  
Kai Song ◽  
Junyao Cheng ◽  
Pengfei Chi ◽  
Zhaohan Wang ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Imaging Study ◽  
Outer Diameter ◽  
Degenerative Scoliosis ◽  
Female Patients ◽  
Lateral Angle ◽  
Adult Degenerative Scoliosis ◽  
Imaging Characteristics ◽  
Starting Point ◽  
Trajectory Length

Abstract Background The imaging characteristics of sacral sacralalar-iliac (S2AI) screw trajectory in adult degenerative scoliosis (ADS) patients will be determined. Methods S2AI screw trajectories were mapped on three-dimensional computed tomography (3DCT) reconstructions of 40 ADS patients. The starting point, placement plane, screw template, and a circle centered at the lowest point of the ilium inner cortex were set on these images. A tangent line from the starting point to the outer diameter of the circle was selected as the axis of the screw trajectory. The related parameters in different populations were analyzed and compared. Results The trajectory length of S2AI screws in ADS patients was 12.00 ± 0.99 cm, the lateral angle was 41.24 ± 3.92°, the caudal angle was 27.73 ± 6.45°, the distance from the axis of the screw trajectory to the iliosciatic notch was 1.05 ± 0.81 cm, the distance from the axis of the screw trajectory to the upper edge of the acetabulum was 1.85 ± 0.33 cm, and the iliac width was 2.12 ± 1.65 cm. Compared with females, the lateral angle of male ADS patients was decreased, but the trajectory length was increased (P < 0.05). Compared to patients without ADS in previous studies, the lateral angle of male patients was larger, the lateral angle of female patients was increased, and the caudal angle was decreased (P < 0.05). Conclusions There is an ideal trajectory of S2AI screws in ADS patients. A different direction should be noticed in the placement of S2AI screws, especially in female patients.

Research on the application of 3D reconstruction technology in traditional handicraft design

2021 ◽  
pp. 002072092110052
Author(s):  
GuoLong Zhang
Keyword(s):  
Poisson Equation ◽  
Optimization Algorithm ◽  
Three Dimensional ◽  
Reconstruction Algorithm ◽  
Social Production ◽  
Design Constraint ◽  
Reconstruction Process ◽  
Key Steps ◽  
Shielding Design ◽  
Reconstruction Model

The use of computer technology for three-dimensional (3 D) reconstruction is one of the important development directions of social production. The purpose is to find a new method that can be used in traditional handicraft design, and to explore the application of 3 D reconstruction technology in it. Based on the description and analysis of 3 D reconstruction technology, the 3 D reconstruction algorithm based on Poisson equation is analyzed, and the key steps and problems of the method are clarified. Then, by introducing the shielding design constraint, a 3 D reconstruction algorithm based on shielded Poisson equation is proposed. Finally, the performance of two algorithms is compared by reconstructing the 3 D image of rabbit. The results show that: when the depth value of the algorithm is 11, the surface of the rabbit image obtained by the proposed optimization algorithm is smoother, and the details are more delicate and fluent; under different depth values, with the increase of the depth value, the number of vertices and faces of the two algorithms increase, and the optimal depth values of 3 D reconstruction are more than 8. However, the proposed optimization algorithm has more vertices, and performs better in the reconstruction process; the larger the depth value is, the more time and memory are consumed in 3 D reconstruction, so it is necessary to select the appropriate depth value; the shielding parameters of the algorithm have a great impact on the fineness of the reconstruction model. The larger the parameter is, the higher the fineness is. In a word, the proposed 3 D reconstruction algorithm based on shielded Poisson equation has better practicability and superiority.

scholarly journals 3D Reconstruction of Cultural Heritage Sites as an Educational Approach. The Sanctuary of Delphi

2021 ◽  
Vol 11 (8) ◽  
pp. 3635
Author(s):  
Ioannis Liritzis ◽  
Pantelis Volonakis ◽  
Spyros Vosinakis
Keyword(s):  
University Students ◽  
3D Reconstruction ◽  
Cultural Heritage ◽  
New Technology ◽  
Three Dimensional ◽  
Computer Gaming ◽  
Educational Approach ◽  
Heritage Sites ◽  
3D Environment ◽  
Almost All

In the field of cultural heritage, three-dimensional (3D) reconstruction of monuments is a usual activity for many professionals. The aim in this paper focuses on the new technology educational application combining science, history, and archaeology. Being involved in almost all stages of implementation steps and assessing the level of participation, university students use tools of computer gaming platform and participate in ways of planning the virtual environment which improves their education through e-Learning. The virtual 3D environment is made with different imaging methods (helium-filled balloon, Structure for motion, 3D repository models) and a developmental plan has been designed for use in many future applications. Digital tools were used with 3D reconstructed buildings from the museum archive to Unity 3D for the design. The pilot study of Information Technology work has been employed to introduce cultural heritage and archaeology to university syllabuses. It included students with a questionnaire which has been evaluated accordingly. As a result, the university students were inspired to immerse themselves into the virtual lab, aiming to increasing the level of interaction. The results show a satisfactory learning outcome by an easy to use and real 3D environment, a step forward to fill in needs of contemporary online sustainable learning demands.

Sign in / Sign up

Export Citation Format

Share Document