scholarly journals On the use of metaballs to visually map source code structures and analysis results onto 3D space

Author(s):  
J. Rilling ◽  
S.P. Mudur
Keyword(s):  
2014 ◽  
Author(s):  
Luis Ibanez

This document describes the implementation of an ITK class to support the reading and writing of Meshes in STL file format. The Meshes are assumed to contain 2D manifolds embedded in a 3D space. In practice, it would be desirable to use this class mostly to read and write QuadEdgeMeshes.This paper is accompanied with the source code, input data, parameters and output data that the authors used for validating the algorithm described in this paper. This adheres to the fundamental principle that scientific publications must facilitate reproducibility of the reported results.


Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8397
Author(s):  
Van-Hung Le ◽  
Rafal Scherer

Human segmentation and tracking often use the outcome of person detection in the video. Thus, the results of segmentation and tracking depend heavily on human detection results in the video. With the advent of Convolutional Neural Networks (CNNs), there are excellent results in this field. Segmentation and tracking of the person in the video have significant applications in monitoring and estimating human pose in 2D images and 3D space. In this paper, we performed a survey of many studies, methods, datasets, and results for human segmentation and tracking in video. We also touch upon detecting persons as it affects the results of human segmentation and human tracking. The survey is performed in great detail up to source code paths. The MADS (Martial Arts, Dancing and Sports) dataset comprises fast and complex activities. It has been published for the task of estimating human posture. However, before determining the human pose, the person needs to be detected as a segment in the video. Moreover, in the paper, we publish a mask dataset to evaluate the segmentation and tracking of people in the video. In our MASK MADS dataset, we have prepared 28 k mask images. We also evaluated the MADS dataset for segmenting and tracking people in the video with many recently published CNNs methods.


Author(s):  
Xiaolu Zeng ◽  
Alan Hedge ◽  
Francois Guimbretiere
Keyword(s):  

2009 ◽  
Author(s):  
F. Jacob Seagull ◽  
Peter Miller ◽  
Ivan George ◽  
Paul Mlyniec ◽  
Adrian Park
Keyword(s):  
3D Image ◽  

Author(s):  
D Flöry ◽  
C Ginthoer ◽  
J Roeper-Kelmayr ◽  
A Doerfler ◽  
WG Bradley ◽  
...  
Keyword(s):  

2019 ◽  
Vol 2 (1) ◽  
pp. 1-16
Author(s):  
Nana Suarna
Keyword(s):  

Seiring waktu, jumlah surat dalam sebuah perusahaan semakin hari makin banyak, sehingga muncul permasalahan dalam mengelolanya administrasi suarat, baik ketika dalam pencatatan surat maupun proses disposisi, serta pada saat pencarian arsip surat. Hampir sebagai besar surat yang ada di kantor-kantor masih disimpan dalam bentuk file-file yang masih bersifat manual, sehingga memungkinkan surat tersebut menunpuk, dan memerlukan waktu yang lama dalam pencarian dan pemrosesannya. Dengan dibangunnya  sistem manajemen pengarsipan bertujuan untuk mengatasi permasalahan-permasalahan tersebut di atas. Pemrograman  saat ini, baik desktop maupun web based, semakin marak  pengerjaannya menggunakan framework code igniter berbasis PHP. Framework CI memang dikembangkan untuk memudahkan dalam developing aplikasi dengan struktur  file source code-nya menggunakan pendekatan Models-Views-Controller (MVC) dan pemrograman berorientasi objek, oleh sebab itu penulis menggunakan CI dalam developing aplikasi ini. Aplikasi sistem manajemen surat dan pengarsipan ini dapat diakses dalam internal perusahaan web, yang bertujuan untuk memudahkan karyawan  dalam pengelolaan dan  mengaksesnya surat menyurat, selain itu aplikasi ini juga memberikan kemudahan dalam proses pencatatan surat,  disposisi, dan proses pencarian sehingga aplikasisi ini memiliki performa yang handal, mudah untuk di-maintenance dan dikembangkan lebih lanjut seiring perkembangan kebutuhan penggunanya.


Author(s):  
Himanshi Vashisht ◽  
Sanjay Bharadwaj ◽  
Sushma Sharma

Code refactoring is a “Process of restructuring an existing source code.”. It also helps in improving the internal structure of the code without really affecting its external behaviour”. It changes a source code in such a way that it does not alter the external behaviour yet still it improves its internal structure. It is a way to clean up code that minimizes the chances of introducing bugs. Refactoring is a change made to the internal structure of a software component to make it easier to understand and cheaper to modify, without changing the observable behaviour of that software component. Bad smells indicate that there is something wrong in the code that have to refactor. There are different tools that are available to identify and emove these bad smells. A software has two types of quality attributes- Internal and external. In this paper we will study the effect of clone refactoring on software quality attributes.


2020 ◽  
Vol 2020 (1) ◽  
pp. 91-95
Author(s):  
Philipp Backes ◽  
Jan Fröhlich

Non-regular sampling is a well-known method to avoid aliasing in digital images. However, the vast majority of single sensor cameras use regular organized color filter arrays (CFAs), that require an optical-lowpass filter (OLPF) and sophisticated demosaicing algorithms to suppress sampling errors. In this paper a variety of non-regular sampling patterns are evaluated, and a new universal demosaicing algorithm based on the frequency selective reconstruction is presented. By simulating such sensors it is shown that images acquired with non-regular CFAs and no OLPF can lead to a similar image quality compared to their filtered and regular sampled counterparts. The MATLAB source code and results are available at: http://github. com/PhilippBackes/dFSR


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