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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VI"

共 15613 条记录，以下是4341-4350 订阅

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Complexity Evaluation of the Ateb-Gabor Filtration Algorithm in Biometric Security systems 2

Complexity Evaluation of the Ateb-Gabor Filtration Algorithm...

引用

IEEE 2nd Ukraine conference on Electrical and Computer Engineering (UKRCON)

作者： Nazarkevych, Mariya Lotoshynska, Nataliia Klyujnyk, Ivanna Voznyi, Yaroslav Forostyna, Sofiya Maslanych, Iryna Lviv Polytech Natl Univ Dept Informat Technol Publishing Lvov Ukraine Lviv Polytech Natl Univ Tech Coll Lvov Ukraine Lviv Polytech Natl Univ Dept Appl Linguist Lvov Ukraine

ISBN: (纸本)9781728138824

The complex estimation of complexity algorithms at application Ateb-Gabor filtration is developed. This filtration is proposed to be used for biometric images. Gabor filtration is a reconstruction of a biometric image multiplying the harmonic function by the Gaussian function. Ateb-functions are an extension of trigonometric functions, and therefore have more functionality. The efficiency of using the Ateb-filter function is shown, which consists of more variants of processed images. Experimental researches of working out filtering time by the developed filter are carried out. The Ateb-Gabor filter contains two rational parameters m and n that allow you to get new values and get new features when filtering. Changing the m and n parameters provides new values for the Ateb-Gabor period, which allows you to extend the number of filter options.

关键词： Ateb-Gabor Gabor filter filtration image processing biometric protection systems fingerprint

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Efficient Face Detection And Identification In Networked video Surveillance systems

Efficient Face Detection And Identification In Networked Vid...

引用

International conference on Ubiquitous Information Management and Communication (IMCOM)

作者： Md Nazmus Saadat Hasibul Kabir Zalizah Awang Long Hannah Sofian Megat Farez Azril Zuhairi MIIT Universiti Kuala Lumpur Kuala Lumpur Malaysia

ISBN: (数字)9781728154534

ISBN: (纸本)9781728154541

Applications for face detection use algorithms that rely on identifying human faces in broader photos that may include environments, artifacts, and other sections of a person's physique. This work proposes a real-time identification system, based on modern image processing capabilities of open source API like OpenCV and due to the solution requirements, a study on the performance analysis of such solution compared to available commercial framework like SPID from NEC is intended. However, here, the study is available with the results of various experiments on the developed system. A systematic approach is followed to produce such outputs and have been measured using software codes. By using IP camera and a Raspberry Pi, the solution developed is simple in nature. This study relies on face detection and identification functionalities for human faces but not limited to live faces only but mix of faces from still images as well.

关键词： Face Cameras Face recognition Face detection Hidden Markov models Planning Principal component analysis

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VLSI Implementaion of image Encryption and Decryption Using Reversible Logic Gates

VLSI Implementaion of Image Encryption and Decryption Using ...

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Power Electronics and Renewable Energy Applications (PEREA), International conference on

作者： Geethu Chandran Helen Mary M C Anjana G Rajiv Gandhi Institute of Technology Kottayam India

ISBN: (数字)9781728183961

ISBN: (纸本)9781728183978

Reversible logic synthesis and testing is a fascinating research area as it is an important approach for low power design and quantum computing. Reversible computations have different applications such as quantum computing, nanotechnology, digital signal processing, bio-information etc. All these applications require a cryptography system to restrict the unauthorized access and thus maintain the confidentiality of data. High area and power requirements are some of the major problems of well secured cryptography algorithms. In this work, a Reversible Logic Gates Cryptography Design (RLGCD) is proposed to overcome these problems. RLGCD is used to design both encryption and decryption architectures. Linear Feedback Shift Register is used to generate the key for encryption and decryption processes. To further improve the security of data watermarking is done using Least Significant Bit (LSB) method. The FPGA performance of RLGCD architecture is evaluated. There is a great improvement in the performance of RLGCD architecture when compared to other conventional systems.

关键词： Performance evaluation Quantum computing Computer architecture Watermarking Logic gates Encryption Field programmable gate arrays

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Design of a human multi-robot interaction medium of cognitive perception 19

Design of a human multi-robot interaction medium of cognitiv...

引用

Proceedings of the 14th ACM/IEEE International conference on Human-Robot Interaction

作者： Wonse Jo Jee Hwan Park Sangjun Lee Ahreum Lee Byung-Cheol Min Purdue University

ISBN: (纸本)9781538685556

We present a new multi-robot system as a means of creating a visual communication cue that can add dynamic illustration to static figures or diagrams to enhance the power of delivery and improve an audience's attention. The proposed idea is that when a presenter/speaker writes something such as a shape or letter on a whiteboard table, multiple mobile robots trace the shape or letter while dynamically expressing it. The dynamic movement of multi-robots will further stimulate the cognitive perception of the audience with handwriting, positively affecting the comprehension of content. To do this, we apply image processing algorithms to extract feature points from a handwritten shape or letter while a task allocation algorithm deploys multi-robots on the feature points to highlight the shape or letter. We present preliminary experiment results that verify the proposed system with various characters and letters such as the English alphabet.

关键词： cognitive perception human-robot interaction multi-robot systems robot for learning

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Research on Panoramic image processing Technology Based on virtual Reality Technology

Research on Panoramic Image Processing Technology Based on V...

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International conference on virtual Reality and Intelligent systems (ICVRIS)

作者： Chunmei Wang Linyi University Linyi China

virtual reality technology is a modern advanced computer simulation technology, which can build a super-compelling virtual environment and let users experience these virtual environments. Moreover, in this scenario, the simulation system of entity behavior can also make users feel really immersed in the virtual world. At the same time, the application of virtual reality technology has studied and developed a variety of technologies, such as computer image processing, computer simulation, sensors, etc. The feeling of freely communicating with things in a virtual environment. This topic mainly studies the important panoramic image processing technology in virtual reality technology, and elaborates and analyses the current mainstream panoramic processing algorithms in detail, and discusses the effect of these panoramic processing algorithms, hoping to give other experts and scholars who study virtual reality technology a little bit. Reference resources.

关键词： virtual reality image segmentation Three-dimensional displays Semantics Correlation Task analysis

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11th Asian conference on Intelligent Information and Database systems, ACIIDS 2019

11th Asian Conference on Intelligent Information and Databas...

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11th Asian conference on Intelligent Information and Database systems, ACIIDS 2019

ISBN: (纸本)9783030148010

The proceedings contain 124 papers. The special focus in this conference is on Intelligent Information and Database systems. The topics include: Content-Based Music Classification by Advanced Features and Progressive Learning;appliance of Social Network Analysis and Data visualization Techniques in Analysis of Information Propagation;a Temporal Approach for Air Quality Forecast;quad-Partitioning-Based Robotic Arm Guidance Based on image Data processing with Single Inexpensive Camera For Precisely Picking Bean Defects in Coffee Industry;on the Analysis of Kelly Criterion and Its Application;single image Super-Resolution with vision Loss Function;content-Based Motorcycle Counting for Traffic Management by image Recognition;use of Blockchain in Education: A Systematic Literature Review;a Comparative Study of Techniques for Avoiding Premature Convergence in Harmony Search Algorithm;Analysis of Different Approaches to Designing the Parallel Harmony Search Algorithm for ATSP;an Independence Measure for Expert Collections Based on Social Media Profiles;differential Evolution in Agent-Based Computing;Verifying Usefulness of Ant Colony Community for Solving Dynamic TSP;physical Layer Security Cognitive Decode-and-Forward Relay Beamforming Network with Multiple Eavesdroppers;co-exploring a Search Space in a Group Recommender System;differential Cryptanalysis of Symmetric Block Ciphers Using Memetic algorithms;modeling of Articular Cartilage with Goal of Early Osteoarthritis Extraction Based on Local Fuzzy Thresholding Driven by Fuzzy C-Means Clustering;modeling and Features Extraction of Heel Bone Fracture Reparation Dynamical Process from X-Ray images Based on Time Iteration Segmentation Model Driven by Gaussian Energy;A Semi-Supervised Learning Approach for Automatic Segmentation of Retinal Lesions Using SURF Blob Detector and Locally Adaptive Binarization.

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image Representation based on quantum Computation and their Application: Milestone Ontogeny

Image Representation based on quantum Computation and their ...

引用

International conference on Communication and Electronics systems (ICCES)

作者： Sanjay Singh Ashish Mani Rashmi Jain A.S.E.T Amity University Noida Uttar Pradesh India J.C. Bose University of Science and Technology YMCA Faridabad Haryana India

ISBN: (数字)9781728112619

ISBN: (纸本)9781728112626

image processing plays a crucial role in our day to day life as it is helpful to solve important problems in real world. Recent progress in quantum information and computation led to the birth of a new field called Quantum image processing. This new field of image processing in quantum domain focuses on the development of the quantum image processing algorithms, which can run more efficiently on quantum computer. These quantum algorithms are better in terms of image storage and retrieval with reduced computational complexity. In this article we present recent advancements in quantum image representation with different mathematical models and with their corresponding computational complexity.

关键词： Quantum computing Computational modeling Logic gates Lattices image color analysis image representation

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Selecting Parameters for image processing algorithms: A Case Study Using Retinal image Segmentation

Selecting Parameters for Image Processing Algorithms: A Case...

引用

Asilomar conference on Signals, systems & Computers

作者： Chandrika Kamath Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA

ISBN: (数字)9781728143002

ISBN: (纸本)9781728143019

A challenge in applying image processing algorithms to scientific data is the variation within and across images in a data set. This makes it difficult to select parameters for the algorithms, especially when the data set is large and the variation is unknown. Using the task of segmentation of retinal images, we discuss the challenges that arise in selecting parameters for even a relatively simple algorithm. We show that the availability of ground truth results could make the identification of parameters subjective and propose a simple idea that could benefit the selection of a single parameter.

关键词： Blood vessels Biomedical imaging image segmentation Retina Sensitivity

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Keyframe-Based Dynamic Elimination SLAM System Using YOLO Detection 12th

Keyframe-Based Dynamic Elimination SLAM System Using YOLO De...

引用

12th International conference on Intelligent Robotics and Applications (ICIRA)

作者： Jin, Gumin Zhong, Xingjun Fang, Shaoqing Deng, Xiangyu Li, Jianxun Shanghai Jiao Tong Univ Dept Automat Shanghai 201100 Peoples R China Shanghai Jiao Tong Univ Student Innovat Ctr Shanghai 201100 Peoples R China

ISBN: (纸本)9783030275389;9783030275372

The assumption of static scene is typical in SLAM algorithms, which limits the use of visual SLAM systems in real-world dynamic environments. Dynamic elimination, detecting or segmenting the static and dynamic region in the image and regarding the features in dynamic parts as outliers, is proved to an effective solution to solve the dynamic SLAM problem. However, traditional dynamic elimination methods processing each frame are very time consuming. In this paper, dynamic elimination is implemented only on keyframes utilizing YOLO as the fast dynamic detection network. This keyframe-based improvement ensures localization accuracy by ensuring map accuracy, and at the same time increases the speed of the SLAM system with dynamic elimination greatly. Experiments are conducted both in real-world environment and on the public TUM datasets. The results demonstrate the effectiveness as well as efficiency of our method.

关键词： Dynamic elimination YOLO detection Keyframe processing SLAM

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Algorithm-hardware Co-design for Deformable Convolution 5

Algorithm-hardware Co-design for Deformable Convolution

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5th Workshop on Energy Efficient Machine Learning and Cognitive Computing ((EMC2) / conference on Neural Information processing systems (NIPS)

作者： Huang, Qijing Wang, Dequan Gao, Yizhao Cai, Yaohui Dong, Zhen Wu, Bichen Keutzer, Kurt Wawrzynek, John Univ Calif Berkeley Berkeley CA 94720 USA Univ Chinese Acad Sci Beijing Peoples R China Peking Univ Beijing Peoples R China

ISBN: (纸本)9781665424189

FPGAs provide a flexible and efficient platform to accelerate rapidly-changing algorithms for computer vision. The majority of existing work focuses on accelerating image classification, while other fundamental vision problems, including object detection and instance segmentation, have not been adequately addressed. Compared with image classification, detection problems are more sensitive to the spatial variance of objects, and therefore, require specialized convolutions to aggregate spatial information. To address this, recent work proposes dynamic deformable convolution to augment regular convolutions. Regular convolutions process a fixed grid of pixels across all the spatial locations in an image, while dynamic deformable convolutions may access arbitrary pixels. The access pattern of deformable convolutions is input-dependent and varies per spatial location. These properties lead to inefficient memory accesses of inputs with existing hardware. In this work, we first investigate the overhead of the deformable convolution on embedded FPGA SoCs, and then show the accuracy-latency tradeoffs for a set of algorithm modifications, including full versus depthwise, fixed-shape, and limited-range. These modifications benefit the efficiency of the embedded accelerator in general. We build an efficient object detection network with modified deformable convolutions and quantize the network using state-of-the-art quantization methods. Experiments show that our co-design optimization for the deformable convolution achieves significant hardware speedup with little accuracy compromised.

关键词： Quantization (signal) Object detection Machine learning Hardware Energy efficiency Real-time systems Object recognition

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