Multistack Close Range Photogrammetry for Low Cost Submillimeter Metrology

2013 ◽  
Vol 13 (4) ◽  
Author(s):  
L. M. Galantucci ◽  
F. Lavecchia ◽  
G. Percoco
Keyword(s):  
Surface Topography ◽  
Research Effort ◽  
Low Cost ◽  
Three Dimensional ◽  
Robotic Systems ◽  
Image Composition ◽  
Close Range Photogrammetry ◽  
Considerable Research ◽  
Close Range ◽  
Dimensional Surface

Considerable research effort has been focused on evaluating the accuracy of meso- and macroscale digital close range photogrammetry. However, evaluations of accuracy and applications in the submillimeter scale are rare. In this paper the authors propose the development of a three-dimensional (3D) photogrammetric scanner, based on macrolens cameras, able to reconstruct the three-dimensional surface topography of objects with submillimeter features. The system exploits multifocal image composition and has been designed for installation on all types of Numerical Controlled or Robotic systems. The approach is exploitable for digitizing submillimeter features at mesoscale as well as macroscale objects.

Integration of close Range Photogrammetry and Structured Light Scanner for Cultural Heritage Documentation

2012 ◽  
Vol 468-471 ◽  
pp. 1966-1969 ◽  
Author(s):  
Jian Wei Liu ◽  
Zhi Qiang Jiang ◽  
Xin Sun ◽  
Hao Hu
Keyword(s):  
Cultural Heritage ◽  
Low Cost ◽  
Structured Light ◽  
Three Dimensional ◽  
Field Work ◽  
Local Area ◽  
3D Shape ◽  
Close Range Photogrammetry ◽  
Structured Light Scanner ◽  
Close Range

This paper proposes an integrated three-dimensional(3D) shape acquiring and digitizing method for cultural heritage documentation by combining industrial close range photogrammetry and structured light scan techniques. The operation principle is introduced, the process of raw data acquisition and data post-processing are presented . A 2.5m high ancient Buddha sculpture of over 1500 years old located in Qingyang, China was measured and modeled to test the availability and reliability of the proposed system. Compare to conventional 3D digitizing methods, the proposed system can potentially meet a number of specific needs in the field of cultural heritage documentation, it is more flexible, low cost, less field work, capable of grabbing the 3D shape of large objects, meanwhile recording accurate detail information of local area, without physically contacting with object surface.

scholarly journals BIFOCAL PAIRS OF IMAGES FOR LOW-COST SURVEY IN CLOSE RANGE PHOTOGRAMMETRY

2019 ◽  
Vol XLII-2/W17 ◽  
pp. 203-207
Author(s):  
P. Midulla
Keyword(s):  
Image Processing ◽  
Low Cost ◽  
Three Dimensional ◽  
Reference Plane ◽  
System Of Equations ◽  
Close Range Photogrammetry ◽  
Close Range

Abstract. This paper present a method for close range photogrammetry based on an camera positioning scheme in which two cameras capture an equal portion of an object at the same scale, but have different focal lengths and camera-to-object distances. This scheme is alternative to the stereoscopic scheme and is associated with a system of equations which permits one to calculate first the relief displacement of points on a photograph and then their relief relative to a reference plane. The obtained relief and relief displacement values can be used to produce low-cost orthophotographs by using software for image processing, which doesn’t need to be dedicated, but has to provide measurement and calculation functions. Moreover, this method also allows one to obtain three-dimensional coordinates, through further calculations.

Three-dimensional surface topography segmentation through clustering

Wear ◽  
2007 ◽  
Vol 262 (3-4) ◽  
pp. 395-410 ◽  
Author(s):  
N. Senin ◽  
M. Ziliotti ◽  
R. Groppetti
Keyword(s):  
Surface Topography ◽  
Three Dimensional ◽  
Dimensional Surface

scholarly journals Photogrammetry-based Texture Analysis of a Volcaniclastic Outcrop-peel: Low-cost Alternative to TLS and Automation Potentialities using Haar Wavelet and Spatial-Analysis Algorithms

2017 ◽  
Vol 31 (1) ◽  
pp. 16-27 ◽  
Author(s):  
Christopher Gomez ◽  
Kyoko Kataoka ◽  
Aditya Saputra ◽  
Patrick Wassmer ◽  
Atsushi Urabe ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Wavelet Decomposition ◽  
Low Cost ◽  
Decomposition Analysis ◽  
Haar Wavelet ◽  
Present Contribution ◽  
Close Range Photogrammetry ◽  
Original Goal ◽  
Close Range ◽  
Made In

Numerous progress has been made in the field of applied photogrammetry in the last decade, including the usage of close-range photogrammetry as a mean of conservation and record of outcrops. In the present contribution, we use the SfM-MVS method combined with a wavelet decomposition analysis of the surface, in order to relate it to morphological and surface roughness data. The results demonstrated that wavelet decomposition and RMS could provide a rapid insight on the location of coarser materials and individual outliers, while arithmetic surface roughness were more useful to detect units or layers that are similar on the outcrop. The method also emphasizes the fact that the automation of the process does not allows clear distinction between any artefact crack or surface change and that human supervision is still essential despite the original goal of automating the outcrop surface analysis.

scholarly journals Geometric Recognition of Moving Objects in Monocular Rotating Imagery Using Faster R-CNN

2020 ◽  
Vol 12 (12) ◽  
pp. 1908
Author(s):  
Tzu-Yi Chuang ◽  
Jen-Yu Han ◽  
Deng-Jie Jhan ◽  
Ming-Der Yang
Keyword(s):  
Object Recognition ◽  
Moving Objects ◽  
Low Cost ◽  
Three Dimensional ◽  
Real Life ◽  
Moving Object ◽  
Camera Motion ◽  
Ptz Camera ◽  
Real Life Data ◽  
Close Range

Moving object detection and tracking from image sequences has been extensively studied in a variety of fields. Nevertheless, observing geometric attributes and identifying the detected objects for further investigation of moving behavior has drawn less attention. The focus of this study is to determine moving trajectories, object heights, and object recognition using a monocular camera configuration. This paper presents a scheme to conduct moving object recognition with three-dimensional (3D) observation using faster region-based convolutional neural network (Faster R-CNN) with a stationary and rotating Pan Tilt Zoom (PTZ) camera and close-range photogrammetry. The camera motion effects are first eliminated to detect objects that contain actual movement, and a moving object recognition process is employed to recognize the object classes and to facilitate the estimation of their geometric attributes. Thus, this information can further contribute to the investigation of object moving behavior. To evaluate the effectiveness of the proposed scheme quantitatively, first, an experiment with indoor synthetic configuration is conducted, then, outdoor real-life data are used to verify the feasibility based on recall, precision, and F1 index. The experiments have shown promising results and have verified the effectiveness of the proposed method in both laboratory and real environments. The proposed approach calculates the height and speed estimates of the recognized moving objects, including pedestrians and vehicles, and shows promising results with acceptable errors and application potential through existing PTZ camera images at a very low cost.

An investigation of influence of cutting parameters on three-dimensional surface topography in micromilling SiCp/Al composites

2020 ◽  
pp. 095440542097109
Author(s):  
Junwei Liu ◽  
Kai Cheng ◽  
Hui Ding ◽  
Shijin Chen
Keyword(s):  
Surface Topography ◽  
Orthogonal Experiment ◽  
Three Dimensional ◽  
Cutting Parameters ◽  
Micro Milling ◽  
Influence Of Process Parameters ◽  
Good Surface ◽  
Weak Negative Correlation ◽  
Single Factor Experiment ◽  
Dimensional Surface

Surface topography is an important characteristic of the surface integrity, and influences the performance and mechanical properties of the workpiece to a great extent in micro milling SiCp/Al composites. It is evaluated by three-dimensional surface roughness ( Sq) and fractal dimension ( Ds) in this paper. Based on the single factor experiment and the orthogonal experiment, the influence of process parameters (feed per tooth, spindle speed, milling depth, and milling width) on surface topography is studied. The results show that Sq is mainly affected by milling width and milling depth and optimal results for minimum Sq are: ae = 1.5 mm, ap = 0.08 mm, n = 12000 r/min, and fz=1 μm/z. While Ds is mainly affected by milling width and optimal parameters for maximum Ds are: ae=1 mm, n = 14000 r/min, fz = 1.5 μm/z and ap = 0.12 mm. There is a weak negative correlation between Sq and Ds. In addition, Ds is more sensitive to the main defects and in general a large Ds corresponds to a good surface.

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