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Visual Predictive Control of Spiral Motion
2014
IEEE Transactions on robotics
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ACKNOWLEDGMENT The authors would like to thank Endeavour Awards Australia and the Autonomous System Laboratory at ETH Zurich for their partial support of this study, with particular thanks to M. ...
The objective function, however, is quite general and could contain not only image feature error, but a combination of image features, control effort, time, and other application-specific criteria. ...
For β = π/2, motion is no longer on a conical spiral, but a planar spiral with z = 0. In Fig. 3 , some example spirals and their corresponding reference conical angles are shown. ...
doi:10.1109/tro.2014.2361425
fatcat:yvbbmqqm6jcqlakr545bu4jcwq
Aircraft collision avoidance using spherical visual predictive control and single point features
2013
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
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This paper presents practical vision-based collision avoidance for objects approximating a single point feature. ...
Visibility, state and control constraints are considered explicitly in the controller design by combining image and vehicle dynamics in the process model, and solving the nonlinear optimization problem ...
ACKNOWLEDGEMENTS This work was funded by Endeavour Research Fellowship Award and the Australian Research Centre for Aerospace Automation (ARCAA). ...
doi:10.1109/iros.2013.6696331
dblp:conf/iros/McfadyenACP13
fatcat:mjxi3eqlb5g73jnm74aafrwyau
Looking for fine structures in galaxies
1998
Astronomy and Astrophysics Supplement Series
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It is also discussed the use of a Fourier-hologram image as a transfer function. ...
In order to enhance fine structure in direct CCD images of galaxies, transform processing has been employed: working in the transform domain, transform functions have been created and simple high-and low-pass ...
Sulentic for his comments and interesting suggestions to the early version of the manuscript. ...
doi:10.1051/aas:1998141
fatcat:r4kbbbed65f3vaqp6izeav47ji
Fractal image compression using new mimic spiral architecture
2010
2010 3rd International Conference on Computer Science and Information Technology
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Spiral Architecture is a novel image structure on which images are displayed as a collection of hexagonal pixels. ...
Fractal image compression is a relatively recent image compression method. Its basic idea is to represent images as a fixed point of a contractive Iterated Function System. ...
The work on FIC to be presented in this paper, however, is based on a different image structure, namely hexagonal structure. ...
doi:10.1109/iccsit.2010.5563564
fatcat:swybo7iv7zelfitldjufhbdrvy
Studies on the Geometrical Design of Spider Webs for Reinforced Composite Structures
2021
Journal of Composites Science
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Accordingly, the spider web can be taken as a model for optimal fiber orientation for composite materials to be used in critical structural applications. ...
The study sheds light on spider web utilization to develop an optimized fiber orientation reinforced composite structure for constructing, for instance, shell structures, pressure vessels and fuselage ...
scholars to extend image processing applications like Nature-based engineering design. ...
doi:10.3390/jcs5020057
fatcat:noqehvqvnjbhjmh4mvki3yxqom
Cognitive computer graphics for information interpretation in real time intelligence systems
[chapter]
2002
Lecture Notes in Computer Science
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Using of cognitive structures at investigation of complex dynamic processes determining interaction of floating dynamic object (DO) with environment in extreme situations is in the focus of attention. ...
Application of cognitive computer graphics (CCG) in problems of information analysis and interpretation in real-time intelligence systems (IS) is considered. ...
One set of them (biplots, polyplots, affine transform, spiral diagram) is based on the idea of special functional transformation of initial data to easily recognised image (e.g., straight line). ...
doi:10.1007/3-540-46043-8_69
fatcat:o2bl3t26ofd5requznkwwm46mu
Gesture Recognition Based on Hexagonal Structure Histograms of Oriented Gradients
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
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Feature extraction methods of image directly affect the feature recognition results based on computer vision-based gesture recognition. ...
This paper proposed a gesture feature extraction method of hexagonal structure, which is based on histograms of oriented gradients. ...
Acknowledgments The authors would like to thank the reviewers for their critical and constructive comments and suggestions. ...
doi:10.14257/ijsip.2015.8.8.26
fatcat:4kuxzdwguzdddct5epecyowbwu
Biomineralized Materials as Model Systems for Structural Composites: 3D Architecture
2022
Advanced Materials
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Specifically, the diverse structures of biomineralized materials are understood based on four universal structural motifs. ...
Our current knowledge of the structure of biological materials is mainly based on 2D imaging techniques, which often impedes comprehensive and accurate understanding of the materials' intricate 3D architecture ...
Critical Technology and Applied Science (ICTAS) at Virginia Tech for supporting this work. ...
doi:10.1002/adma.202106259
pmid:35085421
fatcat:fsyqechls5gdbkgfqkjvv5qglq
Application research of image recognition technology based on CNN in image location of environmental monitoring UAV
2018
EURASIP Journal on Image and Video Processing
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After analyzing the characteristics of CNN model for image feature representation and residual network, a residual network model is built. ...
The UAV remote sensing system is selected as the platform to acquire image data, and the problem of image recognition based on residual neural network is studied, which is verified by experiment simulation ...
Acknowledgements The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions. ...
doi:10.1186/s13640-018-0391-6
fatcat:prjoi4vamfbh7ivu6vji75uwpa
Performance Analysis of Spiral Neighbourhood Topology Based Local Binary Patterns in Texture Recognition
2016
International Journal of Applied Mathematics Electronics and Computers
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This paper focuses on the use of uniform and basic LBP that have spiral topology in texture classification. We first derive basic and uniform LBP features based on spiral topology. ...
This method is based on comparison of each centre pixel and its neighbours' intensity value in image. ...
Using this topology is advantage for rotation invariant problem in the texture classification application but anisotropic structural information may important features for some problems. ...
doi:10.18100/ijamec.270683
fatcat:zz3h64kg6rb5thntgnlslwau2m
Rotation and gray-scale transform-invariant texture classification using spiral resampling, subband decomposition, and hidden Markov model
1996
IEEE Transactions on Image Processing
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First, we convert two-dimensional (2-D) texture images to onedimensional (1-D) signals by spiral resampling. ...
Then, we use a quadrature mirror filter (QMF) bank to decompose sampled signals into subbands. In each band, we take high-order autocorrelation functions as features. ...
The distinct feature of our approach is that we process the (1-D) signal obtained by spiral resampling. Given a digitized image, we resample the image along a spiral contour. ...
doi:10.1109/83.536891
pmid:18290060
fatcat:y2irjp5l65d4djce3pheom2j4u
OSGEO UN COMMITTEE EDUCATIONAL CHALLENGE: A USE CASE OF SHARING SOFTWARE AND EXPERIENCE FROM ALL OVER THE WORLD
2019
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Spiral 1 focuses on a new open source web platform for data collection and Spiral 3 is related to new functionalities needed by UN staff during their field operations. ...
The OSGeo UN Challenge called for the development of training material that can be used for training UN staff working on Spirals 1 and 3. ...
ACKNOWLEDGEMENTS The authors wish to thank the OSGeo UN Committee for supporting the initiative. Boundless (Spiral 1) and OSGeo (Spiral 3) sponsored prizes for the challenge. ...
doi:10.5194/isprs-archives-xlii-4-w14-49-2019
fatcat:gy36fdatobfrfg6jf5xf734owa
A New Approach to Diagnose Parkinson's Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis
2018
Computational Intelligence and Neuroscience
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Extracting features from handwriting exams is an important contribution of the computational field for the diagnosis of this disease. ...
In conclusion the proposed approach was proven to be better than the existing methods found in the literature and is therefore a promising tool for the diagnosis of Parkinson's disease. ...
[25] introduced a general purpose structural image analytical method based on cooccurrence statistics saved in a matrix, namely, Structural Cooccurrence Matrix (SCM). ...
doi:10.1155/2018/7613282
pmid:29853835
pmcid:PMC5941776
fatcat:7mhysqlo4vaiznolyu6t44tl5a
Classification and Prediction of Typhoon Levels by Satellite Cloud Pictures through GC–LSTM Deep Learning Model
2020
Sensors
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A new framework of deep learning neural network, Graph Convolutional–Long Short-Term Memory Network (GC–LSTM), is proposed, which is based on the data of satellite cloud pictures of the Himawari-8 satellite ...
In summary, the results can provide a theoretical basis for the related research of typhoon level classification. ...
GCN is an algorithm that adds a lot of image processing based on CNN [23] . ...
doi:10.3390/s20185132
pmid:32916835
fatcat:ajczdgenebd3hlal6cnqdhdmyy
Size Functions In Galaxy Morphology Classification
2014
International Journal of Computer Applications
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For the three main classes of galaxies obtained from the Hubble classification scheme, namely, elliptical, spiral and lenticular, the size functions are obtained from two sets of measuring functions based ...
For elliptical galaxies, the ellipticity is considered for the shape measuring function whereas for spiral galaxies the pitch angle at turnover for the spiral arms is used. ...
This method is also robust as they rely only on these integer valued functions. Thus these features of size function based classification render it attractive for automated classification. ...
doi:10.5120/17502-8045
fatcat:f3xym6f2krfxjitaomkcysbnti
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