High Resolution "DIY" Photogrammetry - 'HRP' Protocol v1

2021 ◽  
Author(s):  
Yu Tang ◽  
Jacopo Niccolo Cerasoni ◽  
Emily Yuko Hallett
Keyword(s):  
High Resolution ◽  
Computer Graphic ◽  
Three Dimensional ◽  
3D Models ◽  
High Accuracy ◽  
Dimensional Shape ◽  
Short Time ◽  
Three Dimensional Shape

Photogrammetry is a method of calculating the three-dimensional shape of an object from a set of images. The advantages of Photogrammetry include the ability to record the shape of an object in a short time and with high accuracy without contact. In addition, the generated model can be displayed without textures. Here, the High Resolution Photogrammetry method is presented, which describes the use of photogrammetric techniques to take pictures and generate models. This method aims to give a comprehensive and extensive description for the development of high resolution 3D models, merging the well known techniques used in academic and computer graphic fields, allowing anyone to independently produce high resolution and quantifiable models for any need.

The Three-Dimensional shape of carbon nanotubes by High Resolution Electron Microscopy

1993 ◽  
Vol 51 ◽  
pp. 754-755
Author(s):  
Z. G. Li ◽  
L. Liang ◽  
P.J. Fagan ◽  
M. van Kavelaar
Keyword(s):  
Electron Microscopy ◽  
Carbon Nanotubes ◽  
High Resolution ◽  
Large Scale ◽  
Three Dimensional ◽  
High Resolution Electron Microscopy ◽  
Resolution Electron ◽  
Dimensional Shape ◽  
Dimensional Object ◽  
Three Dimensional Shape

Following the discovery of a large scale synthesis of fullerenes, the existence of the related carbon nanotubes was suggested by high resolution electron microscopy (HREM). Larger scale syntheses of these nanotube-rich materials has now been reported and has sparked interest worldwide. Because the HREM technique essentially observes the projection of a three dimensional object onto a two-dimensional plane, the three dimensional shape of the object is usually not apparent in typical HREM images. However, as we report here, by rotating along the axis of single carbon nanotube, and recording the images in succession by HREM, the non-cylindrical nature of these tubes is revealed, especially near the sealed ends of the nanotubes. In addition, from electon diffraction and X-ray diffraction, we find the spacing between the planes to be 3.398(8) Å on average. This is in contrast to earlier reports which suggested an interlayer distance of 3.35 Å, similar to the graphite interplanar spacing.

An Engineering Shape Benchmark for 3D Models

2005 ◽  
Author(s):  
Natraj Iyer ◽  
Subramaniam Jayanti ◽  
Karthik Ramani
Keyword(s):  
Mechanical Engineering ◽  
Large Body ◽  
Three Dimensional ◽  
3D Models ◽  
Shape Representations ◽  
Benchmark Database ◽  
Dimensional Shape ◽  
Work Done ◽  
Three Dimensional Shape ◽  
Shape Searching

Three dimensional shape searching is a problem of current interest in several different fields, especially in the mechanical engineering domain. There has been a large body of work in developing representations for 3D shapes. However, there has been limited work done in developing domain dependent benchmark databases for 3D shape searching. In this paper, we propose a benchmark database for evaluating shape based search methods relevant to the mechanical engineering domain. Twelve feature vector based representations are compared using the benchmark database. The main contributions of this paper are development of an engineering shape benchmark and an understanding of the effectiveness of different shape representations for classes of engineering parts.

3D Shape description algorithms applied to the problem of model retrieval

2011 ◽  
Vol 1 (1) ◽  
Author(s):  
Dariusz Frejlichowski
Keyword(s):  
Three Dimensional ◽  
3D Models ◽  
Multimedia Data ◽  
Computer Hardware ◽  
Shape Description ◽  
3D Shape ◽  
Retrieval Result ◽  
Dimensional Shape ◽  
Image Shape ◽  
Three Dimensional Shape

AbstractInterest in three-dimensional shape retrieval is currently increasing, driven by two important reasons — the rapid increase of the amount of multimedia data and a noticeable advance in computer hardware and software during recent years. Presently, it is possible to retrieve complicated 3D models in a reasonable span of time thanks to the use of sophisticated 3D shape description algorithms, a feat which was unthinkable a few years ago. The main issue is the efficiency of the approaches, which must work both quickly and reliably. Hence, in this paper four 3D shape description algorithms — Extended Gaussian Image, Shape Distributions, Shape Histograms and Light Field Descriptor — were experimentally compared in order to determine which was most effective. As it turned out, the latter obtained the best retrieval result.

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