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A comparative study of several template matching algorithms oriented to visual navigation 7

A comparative study of several template matching algorithms ...

引用

Conference on Optoelectronic Imaging and Multimedia Technology VII

作者： Li, Xiaojie Hu, Yao Shen, Tiantian Zhang, Shaohui Cao, Jie Hao, Qun Beijing Inst Technol Sch Opt & Photon Beijing Key Lab Precis Optoelect Measurement Inst Beijing 100081 Peoples R China Hunan Normal Univ Dept Elect Informat Engn Changsha 410082 Peoples R China

ISBN: (纸本)9781510639164

With the development of machine vision technology, in the process of visual navigation with images, it is necessary to match the local geometric features or global features of the images;however, the matching of local geometric features is low in accuracy and difficult to be used in tracking. In contrast, template-based global feature matching can directly use the information of the entire image, and it has high robustness to illumination variations and occlusions, so it has attracted widespread attention. At present, the classical matching algorithms based on templates mainly include Sum of Absolute Differences (SAD), Sum of Squared Differences (SSD), Normalized Cross Correlation (NCC), and Mutual Information (MI). In order to make it more reasonable to evaluate and compare the performance of the algorithms, in this paper, we decided to compare Mean Absolute Differences (MAD), Mean Square Differences (MSD), Zero-mean Normalized Cross Correlation (ZNCC), and Normalized Mutual Information (NMI). During the experiment, the Gaussian noise, illumination variations and occlusion were applied to the current image to simulate complex navigation scenes, and then matched it with the template images. The matching values obtained by the above four matching algorithms in different scenes were collectively called as alignment metric values. The matching effects of the four algorithms were evaluated from the following aspects including the smoothness of the metric value, the number of local extremums and whether the best position was in the correct alignment position. The results showed that the accuracy of MSD was greatly affected by noise and was not suitable for scenes interfered by noise, the number of local extremums of ZNCC changed greatly under the conditions of noise, illumination changes, and occlusion, the alignment metric values became unsmooth. In comparison, the NMI showed good robustness and accuracy in different conditions.

关键词： visual navigation template matching algorithm comparison mutual information global features

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Accelerating diffractive optics design with GPU-based parallel technique

Accelerating diffractive optics design with GPU-based parall...

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Conference on Current Developments in Lens Design and Optical Engineering XI - and Advances in Thin Film Coatings VI

作者： Liu, Kan Li, Hui Zhang, Xinyu Li, Dehua Wei, Mingyue Li, Bin Xie, ChangSheng Zhang, Tianxu Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Key Lab Multispectral Informat Proc Technol Wuhan 430074 Hubei Peoples R China Wuhan Natl Lab Optoelect Wuhan 430074 Peoples R China

ISBN: (纸本)9780819482822

In this paper GPU based data parallel technique is used to reduce calculating time in diffractive optics elements (DOE) design. By using compute unified device architecture (CUDA) framework, comparison of acceleration radio of some major methods using in DOE design, including Gerchberg Saxton algorithm for global optimization in conjunction with Rayleigh-Sommerfeld diffractive integrating transformation, genetic algorithm with a finite-difference time-domain method and simulated annealing algorithm, is made with demonstrational DOE-lens design, whose focal spot size is 0.5 mu m, incident light wavelength is 650 nm, focal length is 3mm, DOE aperture size is 2mm.

关键词： DOE design GPU acceleration CUDA algorithm comparison

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User Behavior Analysis in Web Log through Comparative Study of Eclat and Apriori

User Behavior Analysis in Web Log through Comparative Study ...

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7th International Conference on Intelligent Systems and Control (ISCO)

作者： Kotiyal, Bina Kumar, Ankit Pant, Bhaskar Goudar, R. H. Chauhan, Shivali Junee, Sonam Graph Era Univ Dept CSE Dehra Dun Uttar Pradesh India

ISBN: (纸本)9781467346016;9781467343596

As we know World Wide Web plays vital role in serving the needs of the user's on web. The web log files are generated as a result of an interaction between the client and the service provider on web. Web log file contains the massive hidden valuable information pertaining to the visitors, if mined can be used for predicting the navigation behavior of the users. However the task of discovering frequent sequence patterns from the web log is challenging. Sequential pattern mining provides a significant role in serving a promising approach of the access behavior of the user. This paper focuses on adopting an intelligent technique that can provide personalized web service for accessing related web pages more efficiently and effectively, so that it can be determined which web pages are more likely to be accessed by the user in future. This paper uses two intelligent algorithms for predicting the user behavior's namely Apriori and Eclat and also does the performance comparison of the two algorithms in terms of time and space complexity for the filtered data.

关键词： Proposed Architecture Filtered Data algorithm comparison Web Usage Mining Sequential Pattern Mining Apriori Eclat Recommended System

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Development of a Web Based Framework to Objectively Compare and Evaluate Software Solutions

Development of a Web Based Framework to Objectively Compare ...

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9th Int Conf on Appl Human Factors and Ergon (AHFE) / Int Conf on Human Factors, Software, and Syst Engn, Artificial Intelligence and Social Comp, Human Side of Serv Engn and Human Factors in Energy (HSSE)

作者： Barta, Maximilian Schimanski, Sigmund Buchhorn, Julian Nawrot, Adalbert Berg Univ Wuppertal Human Factors Engn Rainer Gruenter Str 21 D-42119 Wuppertal Germany

ISBN: (纸本)9783319942292;9783319942285

We created a web based framework to objectively evaluate different software solutions using different approaches to the same problem. Solutions can either be single algorithms, software modules or entire programs. The evaluation strongly relies on the human component. In this paper we describe the conceptual structure as well as the evaluation of the first field test of the developed framework by utilizing the implementation of two distinct georouting algorithms as well as their validation with test users. No modification to the tested software needs to be done, as the state of each software component is saved and synchronized by the framework. The aim of the investigation of our implementation is to gather usage data, which then allows us to derive proposals for improvements upon the area of usability and user experience and to identify properties that increases the productivity of users as well as finding out about bottlenecks. The framework is validated by assessing the collected metrics and the user feedback produced by the test, as distinctions in usage, user experience and usability between the two test algorithms were identified.

关键词： algorithm comparison Evaluation framework Human factors engineering Systems engineering User centered Web technologies

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Semi-supervised Learning in Distributed Split Learning Architecture and IoT Applications 15

Semi-supervised Learning in Distributed Split Learning Archi...

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IEEE 15th International Symposium on Autonomous Decentralized Systems (ISADS)

作者： Barhoush, Mahdi Ayad, Ahmad Schmeink, Anke Rhein Westfal TH Aachen Chair Informat Theory & Data Analyt Aachen Germany

ISBN: (纸本)9781665464512

In the era of big data, new learning techniques are emerging to solve the difficulties of data collection, storage, scalability, and privacy. To overcome these challenges, we propose a distributed learning system that merges the hybrid edge-cloud split-learning architecture with the semi-supervised learning scheme. The proposed system based on three semi-supervised learning algorithms (FixMatch, Virtual Adversarial Training, and MeanTeacher) is compared to the supervised learning scheme and trained on different datasets and data distributions (IID and non-IID) and with a variable number of clients. The new system could efficiently utilize the local unlabeled samples on the client side and gave a performance encouragement that exceeds 30% in most cases even with small percentage of labelled data. Additionally, certain Split-SSL algorithms showed performance that was on par with or occasionally even better than more resource-intensive algorithms, although requiring less processing power and convergence time.

关键词： algorithm comparison Big Data Distributed Learning Semi-supervised learning Split Learning

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A variant of Bucket Sort Shell Sort vs Insertion Sort 10

A variant of Bucket Sort Shell Sort vs Insertion Sort

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10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

作者： Abhay, Goel Abhishek, Sharma Namita, Gupta Maharaja Agrasen Inst Technol Dept Comp Sci Engn Delhi India Maharaja Agrasen Inst Technol Comp Sci Engn Delhi India

ISBN: (纸本)9781538659069

Sorting is a technique to rearrange a given list of elements according to a comparison operator on the elements. There are a large number of Sorting algorithms like Insertion Sort, Merge Sort, Bucket Sort, Shell Sort, etc. The efficiency of the sorting algorithm depends on many factors such as memory usage patterns (the number of times the sections of memory must be copied or swapped to and from the disk), the total number of comparisons and the time requirements for the algorithms to run. In this paper, a method is proposed which combines two sorting algorithms (Bucket Sort and Shell Sort) in a way that takes advantage of the strength of each to improve overall performance.

关键词： Shell Sort Bucket Sort Insertion Sort Sorting time complexity algorithm comparison

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Evaluation of State-of-the-Art Pupil Detection algorithms on Remote Eye Images 16

Evaluation of State-of-the-Art Pupil Detection Algorithms on...

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ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) / 20th ACM International Symposium on Wearable Computers (ISWC)

作者： Fuhl, Wolfgang Geisler, David Santini, Thiago Rosenstiel, Wolfgang Kasneci, Enkelejda Univ Tubingen Percept Engn Tubingen Germany Univ Tubingen Comp Engn Tubingen Germany

ISBN: (纸本)9781450344623

Eye movements are a powerful source of information as well as the most intuitive form of interaction. Although eye tracking technology is still in its infancy, it offers the greatest potential for novel communication solutions and applications. Whereas head-mounted eye-trackers are widely used in research, several applications require most unintrusive eye tracking, ideally realized by means of a single, low-cost camera placed away from the subject. However, such remote devices usually provide low resolution images and pose several challenges to gaze position estimation. The key challenge in such a scenario is the robust detection of the pupil center in the recorded image. We evaluated eight state-of-the-art algorithms for pupil detection on three manually labeled data sets recorded in remote tracking scenarios. Among the evaluated algorithms, ElSe [6] proved to be the best performing approach on overall 3202 images from remote eye tracking, which include changing illumination, occlusion, head movements, and off-axial camera position. In addition, we contribute a new data set with 445 annotated images, recorded in a fixed setup with a low cost camera capable of using natural and infrared light.

关键词： Pupil detection remote eye tracking data set algorithm comparison

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A Study of Archiving Strategies in Multi-objective PSO for Molecular Docking 10th

A Study of Archiving Strategies in Multi-objective PSO for M...

引用

10th International Conference on Swarm Intelligence (ANTS)

作者： Garcia-Nieto, Jose Lopez-Camacho, Esteban Garcia Godoy, Maria Jesus Nebro, Antonio J. Durillo, Juan J. Aldana-Montes, Jose F. Univ Malaga ETSI Informat Dept Comp Sci Khaos Res Grp Campus Teatinos Malaga Spain Univ Innsbruck Distributed & Parallel Syst Grp Innsbruck Austria

ISBN: (纸本)9783319444277;9783319444260

Molecular docking is a complex optimization problem aimed at predicting the position of a ligand molecule in the active site of a receptor with the lowest binding energy. This problem can be formulated as a bi-objective optimization problem by minimizing the binding energy and the Root Mean Square Deviation (RMSD) difference in the coordinates of ligands. In this context, the SMPSO multi-objective swarm-intelligence algorithm has shown a remarkable performance. SMPSO is characterized by having an external archive used to store the non-dominated solutions and also as the basis of the leader selection strategy. In this paper, we analyze several SMPSO variants based on different archiving strategies in the scope of a benchmark of molecular docking instances. Our study reveals that the SMPSOhv, which uses an hypervolume contribution based archive, shows the overall best performance.

关键词： Multi-objective optimization Particle Swarm Optimization Molecular docking Archiving strategies algorithm comparison

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AUV 3D Path Planning Based On A* algorithm

AUV 3D Path Planning Based On A* Algorithm

引用

Chinese Automation Congress (CAC)

作者： Li, Mengchuan Zhang, Huajun Wuhan Univ Technol Sch Automat Wuhan Peoples R China

ISBN: (纸本)9781728176871

Aiming al the problem of global static path planning in the submarine terrain environment of autonomous underwater vehicle(AUV),A three-dimensional environment model was built based on gridmethod, and Dijsktra algorithm and A* algorithm were used to realize three-dimensional path search. The simulation results show that the search time of the two algorithms is shorter, hut the A* algorithm is better than Dijsktra algorithm in terms of the number of nodes and path length.A multi-direction A* algorithm is designed to reduce the number of search nodes and further shorten the search path. AUV 3d path planning has high efficiency and real-time performance.

关键词： A* algorithm Three-dimensional path planning algorithm comparison Node optimization

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Model Prediction of Defects in Sheet Metal Forming Processes 19th

Model Prediction of Defects in Sheet Metal Forming Processes

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19th International Conference on Engineering Applications of Neural Networks (EANN)

作者： Dib, Mario Ribeiro, Bernardete Prates, Pedro Univ Coimbra Ctr Informat & Syst Univ Coimbra CISUC Coimbra Portugal Univ Coimbra Ctr Mech Engn Mat & Proc CEMMPRE Coimbra Portugal

ISBN: (纸本)9783319982045;9783319982038

Predicting defects is a challenge in many processing steps during manufacturing because there is a great number of variables involved in the process. In this paper, we take a machine learning perspective to choose the best model for defects prediction of sheet metal forming processes. An empirical study is presented with the objective to choose the best machine learning algorithm that will be able to perform accurately this task. For building the model, three distinct datasets were created using numerical simulation for three mild steel materials: mild steel, DH600, HSLA340. The numerical simulation was performed on the basis of sixteen input features representing characteristics of the materials. Moreover, two kinds of defects, springback and maximum thinning, each one is binary with 1 (defects) and 0 (non-defects) were considered in the simulator. The experimental setup consists of running MLP, CART, NB, RF and SVM algorithms using cross-validation for correctly choosing model parameters. The results were averaged in 30 runs and the standard deviations recorded. The initial conclusion is that the learning algorithm scores differently depending on the type of defect and conditions of the experiment. Although the preliminary results show good performance of the algorithms in simulated environment, a further study with real data will be addressed in future work.

关键词： Machine learning Manufacturing process Predictive model Defect prediction algorithm comparison

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