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Image Tampering Localization Using Unified Two-Stream Features Enhanced with Channel and Spatial Attention 4th

Image Tampering Localization Using Unified Two-Stream Featur...

引用

4th Chinese conference on Pattern Recognition and computer vision (PRCV)

作者： Li, Haodong Chen, Xiaoming Zhuang, Peiyu Li, Bin Shenzhen Univ Guangdong Key Lab Intelligent Informat Proc Shenzhen 518060 Peoples R China Shenzhen Univ Shenzhen Key Lab Media Secur Shenzhen 518060 Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc Shenzhen 518129 Peoples R China

ISBN: (纸本)9783030880071;9783030880064

Image tampering localization has attracted much attention in recent years. To differentiate between tampered and pristine image regions, many methods have increasingly leveraged the powerful feature learning ability of deep neural networks. Most of these methods operate on either spatial image domain directly or residual image domain constructed with high-pass filtering, while some take inputs from both domains and fuse the features just before making decisions. though they have achieved promising performance, the gain of integrating feature representations of different domains is overlooked. In this paper, we show that learning a unified feature set is beneficial for tampering localization. In the proposed method, low-level features are firstly extracted from two input streams: one is a spatial image, and the other is a high-pass filtered residual image. the features are then separately enhanced with channel attention and spatial attention, and are subsequently subjected to an early-fusion to form a unified feature representation. the unified features play an important role under an adapted Mask R-CNN framework, achieving more accurate pixel-level tampering localization. Experimental results on five tampered image datasets have shown the effectiveness of the proposed method. the implementation is available at https://***/media-sec-lab/AEUF-Net.

关键词： Image forgery localization Feature fusion Attention mechanism Mask R-CNN

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2014 4th International conference on Mechanical Science and Engineering, ICMSE 2014

2014 4th International Conference on Mechanical Science and ...

引用

2014 4th International conference on Mechanical Science and Engineering, ICMSE 2014

ISBN: (纸本)9783037859650

the proceedings contain 198 papers. the special focus in this conference is on Advanced Research in Intelligent Equipment Manufacturing. the topics include: Optimization design on the performance of the shaper;modeling and dynamic research of the pneumatic-hydraulic loading simulator system;test and numerical analysis of natural frequency for tube;wind turbine gearbox transmission chain forced vibration analysis exerted by random actuator;vibration characteristics analysis of large dismountable out-moving jaw crusher;excitation order research in bladed-disk coupling resonance condition;driving intention based optimal shift control for automatic transmission;dispersion curves calculation for guided waves in rod by modal analysis;dynamic characteristics analysis for seismic vibrator;finite element research on damping of viscoelastic free layer damping sheet;coupling vibration of tapered rod;resonance reliability analysis of aeroengine compressor rotor blade;present status of damping test techniques for magnesium alloys;parameter sensitivity analysis of gear contact in gear-bearing-rotor system based on romax;investigation of crack line offset of fracture splitting connecting rod;near-field noise prediction for landing gear based on detached eddy simulations;fatigue life analysis of auger stem in soft coal seam;research on walking principle of a worm pipe robot;a new way to simulate the fluid structure interaction between the bioprosthetic heart valve and blood;based on ANSYS large diameter metallic high-speed rotating disk modal analysis;the numerical investigation of cracking areas under nonuniform settlements of the construction;simulation and control of a duopoly model;topological optimization for damping structure of cylindrical shell based on DIMFM;development of double-axis double-rest CNC machining center;construction of computer controlled bioreactor;study on detection method for crack in eggs based on computer vision and support vector machine neural network;

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Localization using combinations of model views

Localization using combinations of model views

引用

International conference on computer vision (ICCV)

作者： R. Basri E. Rivlin Department of Applied Math Weizmann Institute of Science Rehovot Israel Center for Automation Research University of Maryland College Park MD USA

A method for localization, the act of recognizing the environment, is presented. the method is based on representing the scene as a set of 2-D views and predicting the appearances of novel views by linear combinations of the model views. the method accurately approximates the appearance of scenes under weak perspective projection. Analysis of this projection as well as experimental results demonstrate that in many cases this approximation is sufficient to accurately describe the scene. When weak perspective approximation is invalid, either a larger number of models can be acquired or an iterative solution to account for the perspective distortions can be used. the method has several advantages over other approaches. It uses relatively rich representations; the representations are 2-D rather than 3-D; and localization can be done from only a single 2-D view.< >

关键词： Layout robot sensing systems robot kinematics Predictive models Navigation Automation Educational institutions Error analysis Vectors Image recognition

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Research on the Calibration Method of Industrial robot vision System Based on visionPro

Research on the Calibration Method of Industrial Robot Visio...

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computer vision, Image and Deep Learning (CVIDL), International conference on

作者： Yaqing Zheng Yangqi Han Guangxue Hu School of Intelligent Manufacturing Chongqing College of Architecture and Technology Chongqing China

With the continuous development of electronic components towards miniaturization, industrial robots must be equipped with visual systems to accurately grasp these precision components. Build a machine vision system using suitable light sources, cameras, and lenses, based on specific requirements. the imaging and calibration principles of the camera are analyzed, and a calibration method based on the visionPro is used. the visual system's effectiveness is demonstrated through a series of calibration experiments, which show that, the calibration method using visionPro software-based calibration method is straightforward, with an error of less than 0.02mm. It offers high accuracy and is appropriate for the visual positioning and grasping of compact electronic components.

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Integration of Industrial Automation and IoT Devices on the Example of the Assembly Station with the Astorino Educational robot 4th

Integration of Industrial Automation and IoT Devices on the ...

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4th International conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2023

作者： Ćwikla, Grzegorz Kalinowski, Krzysztof Kciuk, Marek Gold, Michal Waluśkiewicz, Marek Sladek, Michal Tlolka, Jaroslaw Woźnica, Robert Wlazlo, Aleksander Faculty of Mechanical Engineering Silesian University of Technology Konarskiego 18A Gliwice44-100 Poland Faculty of Electrical Engineering Silesian University of Technology Akademicka 10A Gliwice44-100 Poland Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

ISBN: (纸本)9783031442810

the article presents an automated assembly station designed by students as part of Project Based Learning. the task of the project was to familiarize with the issues of integration of automation and control elements operating in various standards in order to implement the idea of Industry 4.0. the main elements of the station are the Astorino educational robot, gripper, servo drive and other professional elements of industrial automation and IoT systems. Raspberry PI, microcontrollers, etc. are also used. the assembly process of the product in the configuration in accordance with the user’s order is carried out at the station, quality control is carried out during the process using a vision system and various sensors. © 2024, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Data acquisition

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Optimal estimation of object pose from a single perspective view

Optimal estimation of object pose from a single perspective ...

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International conference on computer vision (ICCV)

作者： T.Q. Phong R. Horaud A. Yassine D.T. Pham INSA-Rouen Mont Saint Aignan France LIFIA-IRIMAG Grenoble France Université de Nancy I Vandoeuvre-les-Nancy France

the authors present a method for robustly and accurately estimating the rotation and translation between a camera and a 3-D object from point and line correspondences. First they devise an error function and then show how to minimize this error function. the quadratic nature of this function is made possible by representing rotation and translation with a dual number quaternion. A detailed account is provided of the computational aspects of a trust-region optimization method. this method compares favourably with Newton's method, which has extensively been used to solve the problem, and with Faugeras-Toscani's linear method (1986) for calibrating a camera. Some experimental results are presented which demonstrate the robustness of the method with respect to image noise and matching errors.< >

关键词： Cameras robot vision systems Iterative methods Calibration Quaternions Noise robustness computer errors Application software computer vision Mobile robots

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Relative 3D positioning and 3D convex hull computation from a weakly calibrated stereo pair

Relative 3D positioning and 3D convex hull computation from ...

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International conference on computer vision (ICCV)

作者： L. Robert O.D. Faugeras Robotics Institute Carnegie Mellon University Pittsburgh PA USA I.N.R.I.A. Sophia-Antipolis France

the authors show some very recent results using the weak-calibration idea. Assuming that only the epipolar geometry is known of a pair of stereo images, encoded in the so-called fundamental matrix, it is shown that some useful three-dimensional information such as relative positions of points and planes and 3-D convex hulls can be computed. the notion of visibility is introduced, which allows deriving those properties. Results of both synthetic and real data are shown.< >

关键词： Transmission line matrix methods Equations Cameras robot vision systems Computational geometry Calibration Retina Information geometry Object recognition Image reconstruction

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A pH Regulation System for Perfusion Machine Using computer vision and Fuzzy Logic

A pH Regulation System for Perfusion Machine Using Computer ...

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Asia-Pacific conference on Intelligent robot Systems (ACIRS)

作者： Tristan Joseph C. Limchesing Rhen Anjerome Bedruz Ryan Rhay Vicerra John Anthony Jose Nilo Bugtai Manufacturing Engineering and Management (MEM) Department De La Salle University Manila Philippines

As current liver perfusion machines use pH probes for monitoring the acidity level in their machine, it poses an increased risk of contamination due to the probes direct contact with the blood, which would then greatly increase the risk of transplant failure. In order to detect pH levels of blood in a liver perfusion machine with minimal contact, this study will use computer vision as a tool in detecting and the given ph. In order to determine the pH level of blood, multiple computer vision techniques with built in knowledge-based systems will be used in the study. the knowledge-based system will continue to improve overtime as more data is collected. In this study, perfusion liquid will be used as the medium for blood due to ethical concerns. the pH is regulated using fuzzy logic control from the data taken from the pH detection system. through the data taken from the results, it shows that this system when compared to the traditional pH monitoring system is accurate and viable in determining the pH level of the blood. And the system is viable in regulating the pH level of the system effectively.

关键词： Blood Fuzzy logic computer vision Regulation Liver Fluids Pumps

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A Neural Network-Based Approach to Identifying Wrinkles and Recommending Cosmetic Products 1

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4th International conference on Optimization Learning Algorithms and Applications

作者： Tonello, Guilherme de M. Varanda Pereira, Maria Joao Alves, Paulo Ortoncelli, Andre Roberto Inst Politecn Braganca Res Ctr Digitalizat & Intelligent Robot CeDRI Lab Sutentabilidade & Tecnol Regioes Montanha Sus Campus Santa Apolonia Braganca Portugal Univ Tecnol Fed Parana Coordenacao Engn Software Campus Dois Vizinhos Curitiba Parana Brazil

ISBN: (数字)9783031774263

ISBN: (纸本)9783031774256;9783031774263

Skincare has become a constant demand among the population, who are increasingly concerned about their health. Furthermore, environmental issues arouse the interest of the masses in natural and sustainable products. this project proposes an approach for recommending thermal-based products based on a set of information provided by the user, combined with the results of computer vision algorithms (to identify the age and occurrence of wrinkles on the user's forehead). A list of recommended products is generated Based on the profile determined for the user. To predict wrinkles, for each facial image sent by the user, we apply a pre-processing step that segments and prepares the region of interest, which a CNN will process. As a CNN, we used the VGG16 architecture trained using a transfer learning and fine-tuning strategy, which improved the results obtained, reaching an accuracy of 92% in classifying wrinkles. An algorithm provided by the Deepface tool is used to predict the user's age, based on the sent picture. Which is crossed with the user's information to determine a level of aging in order to improve the quality of the recommended products.

关键词： Deep learning Wrinkle Detection Recommendation System Skin Care

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Image features detection using phase congruency and its application in visual servoing

Image features detection using phase congruency and its appl...

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IEEE International conference on Intelligent computer Communication and Processing (ICCP)

作者： Adrian Burlacu Corneliu Lazar Department of Automatic Control and Applied Infomatics Gheorghe Asachi Technical University of Iasi Romania

ISBN: (纸本)9781424426737

Image features represent inputs for different types of visual applications. For visual servoing tasks the chosen features must be stable, accurate and robust. Gradient based algorithms for feature detection are sensitive to noise, illumination change and scale change. Using phase congruency, an image feature detection algorithm is developed based on the local energy model. the performances of the detection algorithm were tested using a simulated visual servoing architecture. Simulation was performed using an image sequence acquired by an eye-in-hand real system of a six degree of freedom robot manipulator.

关键词： Cameras Feature extraction Visualization robot vision systems robots Visual servoing robot kinematics

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