An Engineering Shape Benchmark for 3D Models

Author(s):  
Natraj Iyer ◽  
Subramaniam Jayanti ◽  
Karthik Ramani

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.

2021 ◽  
Author(s):  
Yu Tang ◽  
Jacopo Niccolo Cerasoni ◽  
Emily Yuko Hallett

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.


2011 ◽  
Vol 1 (1) ◽  
Author(s):  
Dariusz Frejlichowski

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.


2005 ◽  
Vol 37 (5) ◽  
pp. 509-530 ◽  
Author(s):  
Natraj Iyer ◽  
Subramaniam Jayanti ◽  
Kuiyang Lou ◽  
Yagnanarayanan Kalyanaraman ◽  
Karthik Ramani

2006 ◽  
Vol 37 (4) ◽  
pp. 583
Author(s):  
Michael McGowan

This article examines the relatively new fields of colour and shape trade marks. It was initially feared by some academics that the new marks would encroach on the realms of patent and copyright.  However, the traditional requirements of trade mark law, such as functionality and descriptiveness, have meant that trade marks in colour and shape are extremely hard to acquire if they do not have factual distinctiveness. As colour and shape trade marks have no special restrictions, it is proposed that the combination trade mark theory and analysis from the Diamond T case should be used as a way to make them more accessible. The combination analysis can be easily applied because every product has a three dimensional shape and a fourth dimension of colour.


2017 ◽  
Author(s):  
Tatsuya Kitamura ◽  
Hironori Takemoto ◽  
Hisanori Makinae ◽  
Tetsutaro Yamaguchi ◽  
Kotaro Maki

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