Advanced Procrustes Analysis Models in Photogrammetric Computer Vision

2019 ◽  
Author(s):  
Fabio Crosilla ◽  
Alberto Beinat ◽  
Andrea Fusiello ◽  
Eleonora Maset ◽  
Domenico Visintini
Keyword(s):  
Computer Vision ◽  
Procrustes Analysis ◽  
Analysis Models

scholarly journals Using trait data improves correlation between environment and community data only if abundances are considered

2021 ◽  
Author(s):  
Attila Lengyel ◽  
Sándor Barabás ◽  
Boglárka Berki ◽  
Anikó Csecserits ◽  
Adrienn Gyalus ◽  
...  
Keyword(s):  
Explanatory Power ◽  
Seed Mass ◽  
Analysis Data ◽  
Variance Partitioning ◽  
Procrustes Analysis ◽  
Geographical Distance ◽  
Spatial Variables ◽  
Environmental Matching ◽  
Variation Explained ◽  
Analysis Models

AbstractA straightforward way to explore variation between communities is to calculate dissimilarity indices and relate them with environmental and spatial variables. Communities are most often represented by the (relative) abundances of taxa they comprise; however, more recently, the distribution of traits of organisms included in the communities has been shown more strongly related to ecosystem properties. In this study, we test whether taxon- or trait-based dissimilarity is correlated more tightly with environmental difference and geographical distance and how the abundance scale influences this correlation. Our study system is grassland vegetation in Hungary, where we sampled vegetation plots spanning a long productivity gradient from open dry grasslands to marshes in three sites. We considered three traits for vascular plants: canopy height, specific leaf area and seed mass. We obtained field estimates of normalized vegetation difference index (NDVI) as proxy of productivity (water availability) for each plot. We calculated between-community dissimilarities using a taxon-based and a trait-based index, using raw and square-root transformed abundances and presence/absence data. We fitted distance-based redundancy analysis models with NDVI difference and geographical distance on the dissimilarity matrices and evaluated them using variance partitioning. Then, using the pooled data, we calculated non-metric multidimensional scaling ordinations (NMDS) from all types of dissimilarity matrices and made pairwise comparisons using Procrustes analysis. Data analysis was done separately for the three sites.We found that taxonomical dissimilarity matches environmental and spatial variables better when presence/absence data is used instead of abundance. This pattern was mainly determined by the increasing variation explained by space at the presence/absence scale. In contrast to this trend, with trait-based dissimilarity, accounting for abundance increased explained variation significantly due to the higher explanatory power of NDVI. With abundance data, considering traits improved environmental matching to a great extent in comparison with taxonomical information. However, with presence/absence data, traits brought no advantage over taxon-based dissimilarity in any respect. Changing the abundance scale caused larger difference between ordinations in the case of trait-based dissimilarity than with taxonomical dissimilarity.We conclude that considering relevant traits improves environmental matching only if abundances are also accounted for.Supporting informationAdditional graphs supporting the results are presented as appendix.Open researchData used in this research are publicly available from Dryad ###link to be supplied upon acceptance###

Human Vision and Computer Vision

1985 ◽  
Vol 30 (1) ◽  
pp. 47-47
Author(s):  
Herman Bouma
Keyword(s):  
Computer Vision ◽  
Human Vision

Computer vision for industrial applications

1983 ◽  
Vol 2 (5) ◽  
pp. 130
Author(s):  
J.A. Losty ◽  
P.R. Watkins
Keyword(s):  
Computer Vision ◽  
Industrial Applications

The machine training in problems of satellite images’s processing

Metrologiya ◽  
2020 ◽  
pp. 15-37
Author(s):  
L. P. Bass ◽  
Yu. A. Plastinin ◽  
I. Yu. Skryabysheva
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Computer Vision ◽  
Satellite Images ◽  
Vision Systems ◽  
Earth Remote Sensing ◽  
Practical Applications ◽  
Convolution Neural Networks ◽  
Computer Vision Systems ◽  
Trained Neural Network

Use of the technical (computer) vision systems for Earth remote sensing is considered. An overview of software and hardware used in computer vision systems for processing satellite images is submitted. Algorithmic methods of the data processing with use of the trained neural network are described. Examples of the algorithmic processing of satellite images by means of artificial convolution neural networks are given. Ways of accuracy increase of satellite images recognition are defined. Practical applications of convolution neural networks onboard microsatellites for Earth remote sensing are presented.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

PERSEPSI PEMAHAMAN PERANAN AUDITOR, ETIKA AUDITOR DAN INDEPENDENSI AUDITOR INTERNAL DALAM MEWUJUDKAN GOOD UNIVERSITY GOVERNANCE DENGAN GAYA KEPEMIMPINAN SEBAGAI VARIABEL MODERASI

2019 ◽  
Vol 4 (1) ◽  
pp. 474
Author(s):  
Fipitriany Any
Keyword(s):  
Leadership Style ◽  
University Governance ◽  
Primary Data ◽  
Study Program ◽  
Internal Auditor ◽  
Internal Auditors ◽  
Analysis Models ◽  
Relationship Of ◽  
Role Ethics

ABSTRACT The purpose of this study is to examine and analyze the influence of the role, ethics, and independence of internal auditors in implementing good university governance (GUG) with leadership style as a moderation variable. Multiple linear regression and moderation regression analysis models are used to test the hypothesis. The primary data are obtained through questionnaires that are distributed to the respondents, namely the dean and head of study program at the UniversitasBinaDarma and UniversitasMuhammadiyahPalembang. The results of this study indicate that the instruments in each variable proved to be valid and reliable. Based on the results of hypothesis testing, it can be seen that simultaneously the variable of role, ethics, and independence of internal auditors have positively and significantly effect in implementing good university governance (GUG). These results provide justification or endorsement of the theoretical truths used as the theoretical references of Stewardship Theory and Attitude and Behavioral Theory. Based on the partial test, role of auditor does not significantly affect the variable of GUG, but ethics and independence variable are found to be significant in influencing GUG. The leadership style is negative and insignificant in moderating the role of internal auditors and GUC and also the independence of internal auditor and GUC. The leadership style is found to be positive and insignificant in moderating the relationship of internal auditors’ ethics and GUC.Keywords        Role, Ethics, Independence, Internal Auditor, Leadership Style, Good University Governance  ABSTRAK Tujuan dari penelitian ini adalah untuk menguji dan menganalisis pengaruh peran, etika, dan independensi auditor internal dalam menerapkan good university governance (GUG) dengan gaya kepemimpinan sebagai variabel moderasi. Model analisis regresi linier berganda dan regresi moderasi digunakan untuk menguji hipotesis. Data primer diperoleh melalui kuesioner yang dibagikan kepada responden, yaitu dekan dan ketua program studi di Universitas Bina Darma dan Universitas MuhammadiyahPalembang. Hasil penelitian ini menunjukkan bahwa instrumen dalam setiap variabel terbukti valid dan dapat diandalkan. Berdasarkan hasil pengujian hipotesis dapat dilihat bahwa secara simultan variabel peran, etika, dan independensi auditor internal berpengaruh positif dan signifikan dalam penerapan good university governance (GUG). Hasil ini memberikan pembenaran atau pengesahan kebenaran teoretis yang digunakan sebagai referensi teoretis dari Teori Penatalayanan dan Teori Sikap dan Perilaku. Berdasarkan uji parsial, peran auditor tidak secara signifikan mempengaruhi variabel GUG, tetapi variabel etika dan independensi ditemukan signifikan dalam mempengaruhi GUG. Gaya kepemimpinan negatif dan tidak signifikan dalam memoderasi peran auditor internal dan GUC dan juga independensi auditor internal dan GUC. Gaya kepemimpinan ditemukan menjadi positif dan tidak signifikan dalam memoderasi hubungan etika auditor internal dan GUC Kata Kunci            Peran, Etika, Independensi, Auditor Internal, Gaya Kepemimpinan, Tata Kelola Universitas

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