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Visual Predictive Control of Spiral Motion

Aaron Mcfadyen, Peter Corke, Luis Mejias
2014 IEEE Transactions on robotics  
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

Aaron Mcfadyen, Luis Mejias, Peter Corke, Cedric Pradalier
2013 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems  
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

M. Faúndez-Abans, M. de Oliveira-Abans
1998 Astronomy and Astrophysics Supplement Series  
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

Gandhali Kulkarni, M. V. Kulkarni
2010 2010 3rd International Conference on Computer Science and Information Technology  
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

Yohannes Regassa, Hirpa G. Lemu, Belete Sirabizuh, Samuel Rahimeto
2021 Journal of Composites Science  
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]

Yu. I. Nechaev, A. B. Degtyarev, A. V. Boukhanovsky
2002 Lecture Notes in Computer Science  
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

Pang Haibo, Chengming Liu, Zhe Zhao, Shuyan Zhang
2015 International Journal of Signal Processing, Image Processing and Pattern Recognition  
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

Zian Jia, Zhifei Deng, Ling Li
2022 Advanced Materials  
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

Kunrong Zhao, Tingting He, Shuang Wu, Songling Wang, Bilan Dai, Qifan Yang, Yutao Lei
2018 EURASIP Journal on Image and Video Processing  
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

Nihan Kazak
2016 International Journal of Applied Mathematics Electronics and Computers  
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

Wen-Rong Wu, Shieh-Chung Wei
1996 IEEE Transactions on Image Processing  
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


S. Franceschi, K. Adoch, H. K. Kang, C. Hupy, S. Coetzee, M. A. Brovelli
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

João W. M. de Souza, Shara S. A. Alves, Elizângela de S. Rebouças, Jefferson S. Almeida, Pedro P. Rebouças Filho
2018 Computational Intelligence and Neuroscience  
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

Jianyin Zhou, Jie Xiang, Sixun Huang
2020 Sensors  
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

Sreeparna Banerjee
2014 International Journal of Computer Applications  
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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