Photogrammetry Technology of Three Dimensional Coordinate in the Construction of Curved Surface

2013 ◽  
Vol 694-697 ◽  
pp. 1251-1254
Author(s):  
Jian Min Chen ◽  
Ping Mei Gao ◽  
Xiao Dong Hao ◽  
Chun Yv Lu
Keyword(s):  
Binocular Vision ◽  
3D Model ◽  
Three Dimensional ◽  
Curved Surface ◽  
Offshore Platforms ◽  
Measuring Complex ◽  
Extrinsic Parameters ◽  
3D Photogrammetry ◽  
Three Dimensional Coordinate ◽  
Intrinsic And Extrinsic Parameters

To solve the problem that the workload of measuring complex and large components of platforms is large during offshore platforms constructing, this paper puts forward 3d photogrammetry. With the help of the matlab calibration software tooibox_calib, we calibrate the intrinsic and extrinsic parameters of camera. Then through the measurement of intersected binocular vision, we reconstruct the 3d model of the curved surface.

Camera Calibration Based Multi-Objects Location in Binocular Stereo Vision

2015 ◽  
Vol 719-720 ◽  
pp. 1217-1222 ◽  
Author(s):  
Ying Zhu ◽  
Long Ye ◽  
Jing Ling Wang ◽  
Qin Zhang
Keyword(s):  
Camera Calibration ◽  
Three Dimensional ◽  
Mathematical Methods ◽  
3D Space ◽  
Binocular Stereo Vision ◽  
Extrinsic Parameters ◽  
Binocular Stereo ◽  
Left And Right ◽  
Three Dimensional Coordinate ◽  
Intrinsic And Extrinsic Parameters

In order to capture high quality binocular stereo video, it is necessary to manipulate both the convergence and the interaxial to take control of the depth of objects within the 3D space. Therefore the scene understanding becomes important as it can increase the efficiency of parameters control. In this paper, a camera calibration based multi-objects location method is introduced with the motivation that supply prior information of adjusting the convergence and the interaxial during capturing. Firstly, we are intended to calibrate the two cameras to get the intrinsic and extrinsic parameters. And then, we select points of the object in the images taken by left and right cameras respectively to determine its locations in the two images. With three-dimensional coordinate of objects, the distance between the object and camera baseline is calculated by mathematical methods.

A 3D Reconstruction Method Based on Binocular View Geometry

2010 ◽  
Vol 33 ◽  
pp. 299-303
Author(s):  
Zhong Yan Liu ◽  
Guo Quan Wang ◽  
Dong Ping Wang
Keyword(s):  
3D Reconstruction ◽  
Three Dimensional ◽  
Reconstruction Method ◽  
Feature Points ◽  
Imaging Model ◽  
Extrinsic Parameters ◽  
Image Acquisition System ◽  
Rearview Mirror ◽  
3D Information ◽  
Intrinsic And Extrinsic Parameters

A method was proposed to gain three-dimensional (3D) reconstruction based on binocular view geometry. Images used to calibrate cameras and reconstruct car’s rearview mirror by image acquisition system, by calibration image, a camera's intrinsic and extrinsic parameters, projective and fundamental matrixes were drawn by Matlab7.1;the collected rearview mirror images is pretreated to draw refined laser, extracted feature points, find the very appropriate match points by epipolar geometry principle; according to the camera imaging model to calculate the coordinates of space points, display point cloud, fitting space points to reconstruct car’s rearview mirror; experimental results show this method can better restore the car’s rearview mirror of 3D information.

Repair Methods of Complex Holes in a Three-Dimensional Model Based on Variation Level Set

2018 ◽  
Vol 32 (06) ◽  
pp. 1855007
Author(s):  
Jing Zhang ◽  
Mingquan Zhou
Keyword(s):  
Level Set ◽  
3D Model ◽  
Three Dimensional ◽  
Curved Surface ◽  
Signed Distance Function ◽  
Three Dimensional Model ◽  
Hole Edge ◽  
3D Model Reconstruction ◽  
Geometrical Features ◽  
Edge Surface

With regard to the numerous complex holes that accompany a three-dimensional (3D) model reconstruction, a hole-repair method is proposed in this paper. First, signed distance function (SDF) is constructed, and the curved surface where the hole is positioned is expressed by a static SDF. Another dynamic SDF is used to express the initial curved surface. Using a variation level set on implicit surfaces, we introduce a global convex optimization energy model to perform minimum inducement, thus turning the problem of extracting the hole edge into a problem of spherical evolution of a hidden surface. Finally, we consider the extracted hole-edge surface as the initial observation surface and complete the hole repair using convolution and synthesis. The experiment shows that this algorithm can effectively restore notable geometrical features of areas with complex holes and can repair the holes in a model with many grids.

scholarly journals Three-Dimensional Pathology Specimen Modeling Using “Structure-From-Motion” Photogrammetry: A Powerful New Tool for Surgical Pathology

2018 ◽  
Vol 142 (11) ◽  
pp. 1415-1420 ◽  
Author(s):  
John Turchini ◽  
Michael E. Buckland ◽  
Anthony J. Gill ◽  
Shane Battye
Keyword(s):  
Medical Education ◽  
Structure From Motion ◽  
3D Model ◽  
Digital Pathology ◽  
Three Dimensional ◽  
Surgical Pathology ◽  
Single Lens ◽  
Data Points ◽  
3D Photogrammetry ◽  
Pathology Specimen

Context.— Three-dimensional (3D) photogrammetry is a method of image-based modeling in which data points in digital images, taken from offset viewpoints, are analyzed to generate a 3D model. This modeling technique has been widely used in the context of geomorphology and artificial imagery, but has yet to be used within the realm of anatomic pathology. Objective.— To describe the application of a 3D photogrammetry system capable of producing high-quality 3D digital models and its uses in routine surgical pathology practice as well as medical education. Design.— We modeled specimens received in the 2 participating laboratories. The capture and photogrammetry process was automated using user control software, a digital single-lens reflex camera, and digital turntable, to generate a 3D model with the output in a PDF file. Results.— The entity demonstrated in each specimen was well demarcated and easily identified. Adjacent normal tissue could also be easily distinguished. Colors were preserved. The concave shapes of any cystic structures or normal convex rounded structures were discernable. Surgically important regions were identifiable. Conclusions.— Macroscopic 3D modeling of specimens can be achieved through Structure-From-Motion photogrammetry technology and can be applied quickly and easily in routine laboratory practice. There are numerous advantages to the use of 3D photogrammetry in pathology, including improved clinicopathologic correlation for the surgeon and enhanced medical education, revolutionizing the digital pathology museum with virtual reality environments and 3D-printing specimen models.

A Binocular Vision System for Underwater Target Detection

2013 ◽  
Vol 347-350 ◽  
pp. 883-890 ◽  
Author(s):  
Jie Shen ◽  
Hong Ye Sun ◽  
Hui Bin Wang ◽  
Zhe Chen ◽  
Yi Wei
Keyword(s):  
Binocular Vision ◽  
Stereo Matching ◽  
Vision System ◽  
Three Dimensional ◽  
Processing Unit ◽  
Dimensional Reconstruction ◽  
Underwater Target ◽  
Three Dimensional Coordinate ◽  
Target Detecting ◽  
Binocular Vision System

For the underwater target detecting task, a binocular vision system specialized to the underwater optical environment is proposed. The hardware platform is comprised of a image acquising unit, a image processing unit and a upper computer. Accordingly, the loaded software system is operated for the camera calibration, image preprocessing, feature point extraction, stereo matching and the three-dimensional restoration. The improved Harris operator is introduced for the three-dimensional reconstruction, considering the high scattering and strong attenuation by the underwater optical environment. The experiment results prove that the improved Harris operator is better adapt to the complex underwater optical environment and the whole system has the ability to obtain the three-dimensional coordinate of the underwater target more efficient and accurate.

scholarly journals Collaboration calibration and three-dimensional localization in multi-view system

2018 ◽  
Vol 15 (6) ◽  
pp. 172988141881377
Author(s):  
Sheng Feng ◽  
Chengdong Wu ◽  
Yunzhou Zhang ◽  
Shigen Shen
Keyword(s):  
Real Time ◽  
Three Dimensional ◽  
Research Field ◽  
Localization Accuracy ◽  
Two Dimensional Image ◽  
Centroid Algorithm ◽  
3D Space ◽  
3D Localization ◽  
Extrinsic Parameters ◽  
Intrinsic And Extrinsic Parameters

In this research, the authors have addressed the collaboration calibration and real-time three-dimensional (3D) localization problem in the multi-view system. The 3D localization method is proposed to fuse the two-dimensional image coordinates from multi-views and provide the 3D space location in real time. It is a fundamental solution to obtain the 3D location of the moving object in the research field of computer vision. Improved common perpendicular centroid algorithm is presented to reduce the side effect of the shadow detection and improve localization accuracy. The collaboration calibration is used to generate the intrinsic and extrinsic parameters of multi-view cameras synchronously. The experimental results show that the algorithm can complete accurate positioning in indoor multi-view monitoring and reduce the complexity.

Research on Accuracy Verification for Three-Dimensional Measurement Machine with Non-Contract and Surface Scanning

2010 ◽  
Vol 33 ◽  
pp. 208-211
Author(s):  
Shu Guang Niu ◽  
Lan Yu Yang
Keyword(s):  
Measurement Errors ◽  
Three Dimensional ◽  
Curved Surface ◽  
Verification Method ◽  
Coordinate Measurement ◽  
Coordinate Measurement Machine ◽  
Specific Analysis ◽  
Three Dimensional Measurement ◽  
Three Dimensional Coordinate ◽  
Space Line

One kind of standard model equipment of three-dimensional coordinate measurement machine with non-contract curved surface used for verification solves accuracy standardization problems for the three-dimensional coordinate measurement machine with non-contract curved surface, then balls that are in different positions are used to replace collecting space point coordinates, next measurement errors of space line segment can be obtained through specific analysis and calculation. One new kind of accuracy verification method for the three-dimensional coordinate measurement machine is realized.

scholarly journals Eye Gaze Based 3D Triangulation for Robotic Bionic Eyes

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5271
Author(s):  
Di Fan ◽  
Yanyang Liu ◽  
Xiaopeng Chen ◽  
Fei Meng ◽  
Xilong Liu ◽  
...  
Keyword(s):  
Binocular Vision ◽  
Visual Servoing ◽  
Vision System ◽  
Eye Gaze ◽  
Three Dimensional ◽  
Optical Center ◽  
Extrinsic Parameters ◽  
Active Binocular Vision ◽  
The Impact ◽  
Binocular Vision System

Three-dimensional (3D) triangulation based on active binocular vision has increasing amounts of applications in computer vision and robotics. An active binocular vision system with non-fixed cameras needs to calibrate the stereo extrinsic parameters online to perform 3D triangulation. However, the accuracy of stereo extrinsic parameters and disparity have a significant impact on 3D triangulation precision. We propose a novel eye gaze based 3D triangulation method that does not use stereo extrinsic parameters directly in order to reduce the impact. Instead, we drive both cameras to gaze at a 3D spatial point P at the optical center through visual servoing. Subsequently, we can obtain the 3D coordinates of P through the intersection of the two optical axes of both cameras. We have performed experiments to compare with previous disparity based work, named the integrated two-pose calibration (ITPC) method, using our robotic bionic eyes. The experiments show that our method achieves comparable results with ITPC.

scholarly journals Direct 3D model extraction method for color volume images

2021 ◽  
Vol 29 ◽  
pp. 133-140
Author(s):  
Bin Liu ◽  
Shujun Liu ◽  
Guanning Shang ◽  
Yanjie Chen ◽  
Qifeng Wang ◽  
...  
Keyword(s):  
3D Model ◽  
Clinical Medicine ◽  
Three Dimensional ◽  
Laplacian Matrix ◽  
Segmentation Method ◽  
Human Organs ◽  
Model Segmentation ◽  
Treatment Objective ◽  
Organ Models ◽  
Different Parts

BACKGROUND: There is a great demand for the extraction of organ models from three-dimensional (3D) medical images in clinical medicine diagnosis and treatment. OBJECTIVE: We aimed to aid doctors in seeing the real shape of human organs more clearly and vividly. METHODS: The method uses the minimum eigenvectors of Laplacian matrix to automatically calculate a group of basic matting components that can properly define the volume image. These matting components can then be used to build foreground images with the help of a few user marks. RESULTS: We propose a direct 3D model segmentation method for volume images. This is a process of extracting foreground objects from volume images and estimating the opacity of the voxels covered by the objects. CONCLUSIONS: The results of segmentation experiments on different parts of human body prove the applicability of this method.

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