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共 474 条记录，以下是251-260 订阅

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A Novel Convolutional Neural Network for Facial Expression Recognition 4th

A Novel Convolutional Neural Network for Facial Expression R...

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4th International conference on Cognitive Systems and Information Processing (ICCSIP)

作者： Li, Jing Mi, Yang Yu, Jiahui Ju, Zhaojie Nanchang Univ Sch Informat Engn Nanchang 330031 Jiangxi Peoples R China Shenyang Ligong Univ Sch Informat Sci & Engn Shenyang 110159 Liaoning Peoples R China Univ Portsmouth Sch Comp Portsmouth PO1 3HE Hants England Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Shenyang 110016 Liaoning Peoples R China

ISBN: (纸本)9789811379864;9789811379857

Facial expression recognition is becoming a hot topic due to its wide applications in computer vision research fields. Traditional methods adopt hand-crafted features combined with classifiers to achieve the recognition goal. However, the accuracy of these methods often relies heavily on the extracted features and the classifier's parameters, and thus cannot get good result with unseen data. Recently, deep learning, which simulates the mechanism of human brain to interpret data, has shown remarkable results in visual object recognition. In this paper, we present a novel convolutional neural network which consists of local binary patterns and improved Inception-ResNet layers for automatic facial expression recognition. We apply the proposed method to three expression datasets, i.e., the Extended Cohn-kanade Dataset (CK+), the Japanese Female Expression Database (JAFFE), and the FER2013 Dataset. the experimental results demonstrate the feasibility and effectiveness of our proposed network.

关键词： Facial expression recognition Deep learning LBP Inception-ResNet layers

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Study on vision Measurement for Levitation Gap of Magnetic Levitation Ball Based on Convolutional Neural Network

Study on Vision Measurement for Levitation Gap of Magnetic L...

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International conference on Image, vision and Computing (ICIVC)

作者： Jie Kong Yongzhi Jing Chenhao Zhang Jianhua Hao Cheng Qian Qianwen Gong Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle Ministry of Education Chengdu China

ISBN: (纸本)9781728123264

With the development of deep learning, the Convolutional Neural Network (CNN) is widely used in object classification and pattern recognition. It has enabled computer to achieve better performance than humans in specialized computer vision tasks. this paper takes the magnetic levitation ball system as the research object. Aiming at the shortcomings of traditional methods for levitation gap measurement, a new method is proposed by combining machine vision and CNN image processing technology. the convolution neural network algorithm is used to build the gap measurement model, and the training set is used to train the model. the experimental results show that using convolution neural network image processing technology to realize the levitation gap measurement of magnetic levitation ball system has high distance measurement accuracy and good performance. the proposed CNN model provides correct gap data with the maximum error of 0.16mm for full scale and the average error of 0.07mm for full scale in the test set.

关键词： Magnetic levitation ball Convolutional neural network Image processing Gap measurement Image processing Magnetic levitation FULL-SCALE levitation maximum error robot vision Neural network Visual inspection Ball Device Component images computer vision

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Smart mobile robot system for rubbish collection 4

Smart mobile robot system for rubbish collection

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4th Asia Pacific conference on Manufacturing Systems / 3rd International Manufacturing Engineering conference (APCOMS-iMEC)

作者： Ali, Mohammed A. H. Siang, Tan Sien Univ Malaysia Pahang Fac Mfg Engn Pekan 26600 Malaysia

this paper records the research and procedures of developing a smart mobility robot with detection system to collect rubbish. the objective of this paper is to design a mobile robot that can detect and recognize medium-size rubbish such as drinking cans. Besides that, the objective is also to design a mobile robot with the ability to estimate the position of rubbish from the robot. In addition, the mobile robot is also able to approach the rubbish based on position of rubbish. this paper explained about the types of image processing, detection and recognition methods and image filters. this project implements RGB subtraction method as the prior system. Other than that, algorithm for distance measurement based on image plane is implemented in this project. this project is limited to use computer webcam as the sensor. Secondly, the robot is only able to approach the nearest rubbish in the same views of camera vision and any rubbish that contain RGB colour components on its body.

关键词： Mobile robots

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Acquisition Algorithm of Spatial Control Parameter Relative Distance for On-line Insulation

Acquisition Algorithm of Spatial Control Parameter Relative ...

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International conference on Measurement, Information and Control (MIC)

作者： Xizhen Zhang Xiaoyan Sun Chenhong Yao Zhihui Wang Information and Control College Xi’an University of Architecture & Technology Xi’an China

ISBN: (数字)9781728130354

ISBN: (纸本)9781728130361

Most vision control of the existing power-line insulator robot system needs to be realized indirectly through the remote computer. the vision system itself does not have the ability of vision control, and the level of automation is low. In order to improve the visual control ability and automation level of the power-line insulator robot, an on-line spatial control parameter acquisition algorithm for insulator is presented based on target extraction. the algorithm can be embedded in the hardware platform of visual system to automatically measure the relative distance of insulators. the results of hardware implementation show that the proposed algorithm can measure the relative distance accurately on the hardware platform of visual system. the error rate of distance measurement is basically less than 3%, which achieves the desired effect and design requirements.

关键词： Insulators Visualization robot kinematics Sensors Transmission line measurements Hardware

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Facial expression recognition based on spatial transformer siamese networks 4

Facial expression recognition based on spatial transformer s...

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4th IEEE International conference on computer and Communications, ICCC 2018

作者： Luo, Shujuan Zhang, Ximing Guo, Yuntao Bai, Sijun School of Astronautics Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781538683392

As the development of the computer vision, we could employ the facial expressions recognition technique in the human-computer interaction domain, such as chatting robot, psychological counselling robot and so on. In this paper, we propose a novel method to jointly learn the facial expression features based the combination of Siamese networks and spatial transformer networks. We posit that learning the features from both networks may make them more robust to the image variation especially illumination and viewpoint variation. Particularly, we construct the structure of the Spatial Transformer Siamese Networks(STSN) and learn the features robust to the facial expression image variation. the experimental results show that the proposed method outperforms the-state-of-art method on the MDLTI-PIE dataset. © 2018 IEEE.

关键词： Human computer interaction

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Autonomous Flight of Quadcopters in the Presence of Ground Effect 4

Autonomous Flight of Quadcopters in the Presence of Ground E...

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4th Iranian conference of Signal Processing and Intelligent Systems (ICSPIS)

作者： Ahmadinejad, Farzad Bahrami, Javad Menhaj, Mohammd Bagher Ghidary, Saeed Shiry Amirkabir Univ Technol Amirkabir Robot Ctr Tehran Iran

ISBN: (纸本)9781728111940

Flying near the ground surface produces the ground effect which causes fluctuations in the flight dynamics of a MAV. A similar effect occurs while flying near the ceiling. In this paper, the changes on the quadcopter's dynamic due to ground effect and ceiling effect are studied, and accordingly, a controller for regulating quadcopter's altitude in these conditions is proposed. To attain autonomous flight in a GPS-denied environment, an onboard computer-vision subsystem is designed to estimate velocity and relative position of the quadcopter. A fuzzy logic controller is designed and implemented in both simulations and real-world to control the altitude of the quadcopter. the results show that this nonlinear controller has higher performance in comparison to classic controllers.

关键词： Quadcopter Ground Effect Fuzzy Logic Controller Optical Flow

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Proposed system of artificial Neural Network for positioning and navigation of UAV-UGV 4

Proposed system of artificial Neural Network for positioning...

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4th Electric Electronics, computer Science, Biomedical Engineerings' Meeting, EBBT 2018

作者： Kurdi, Moustafa M. Dadykin, Alex K. Elzein, Imad Ahmad, Ibrahim Sayed Belarusian National Technical University BNTU Minsk Belarus American University of Technology AUT Beirut Lebanon

ISBN: (纸本)9781538651353

this paper deals with a path planning and intelligent control of Belarus Mobile robot which should move safely in unstructured environment by means of Neural Network System (NNS). the approach combines input variables from different resources such as: GPS, RVS (robot vision System), and QVS (Quad-copter vision System). A model based on competitive learning has been developed for robot motion planning. Our method of the construction of a collision-free path for moving robot among obstacles is based on neural networks. A new algorithm for updating the neural activities has been proposed to solve the positioning and navigation problems for mobile robot. © 2018 IEEE.

关键词： Navigation

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Precise robotic Grasp Algorithm for an Object with a Circular Feature

Precise Robotic Grasp Algorithm for an Object with a Circula...

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International conference on Mechanical, Control and computer Engineering (ICMCCE)

作者： Guo Yang Wan Guo Feng Wang Fu dong Li Wen Jun Zhu Dalian Maritime University Dalian China Yangzhou University Yangzhou China Nanjing Tech University Nanjing China

ISBN: (数字)9781728146898

ISBN: (纸本)9781728146904

In order to solve the precise robotic grasp problem, an industrial robot grasp workstation, aiming an object with a circular feature, was considered. To this end, a novel method, namely, POLAR-LINE2D has been proposed. this method combines the LINE-2D method, log-polar transform, and computer-aided design (CAD) technique together. It can precisely obtain the object's translation and rotation transformation. the first step in this method is to use the geometric feature to create a model of the object to be grasped and then use the LINE-2D method to obtain the translation transformation of the object in the input image. the second step is to apply the log-polar transformation to the input image. Finally, in the last step, the SVM multiple model selection and geometric LINE-2D methods are used to precisely determine the object's rotation angle.

关键词： Machine vision Solid modeling Service robots Transforms Two dimensional displays robot kinematics

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Depth Camera based Autonomous Mobile robot for Indoor Environments 4

Depth Camera based Autonomous Mobile Robot for Indoor Enviro...

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4th International conference for Convergence in Technology, I2CT 2018

作者： Krishnan, Akshay Nayak, Sowrabh Anup Rao, U. Patilkulkarni, Sudarshan Sri Jayachamarajendra College of Engineering Department of Electronics and Communication Engineering Mysuru India

ISBN: (纸本)9781538652329

As a consequence of the recent developments in the fields of Artificial Intelligence, computer vision and advancements in the processing capabilities of embedded processors, robots are gaining widespread acceptance for applications in indoor environments. the basic requirements of a robot that is meant for interior applications include the ability to localize itself in the environment and navigate through it. While localization using specific markers has its advantages, a more generic solution would involve the use of a 2D map and adequate algorithms to navigate the area using this map. this paper proposes a design for an autonomous robot that can achieve the basic requirements of navigation in a static environment using low-cost 3D cameras like Kinect. the designed robot uses particle filters to localize in a 2D map. Once localized, it uses A∗ algorithm for global path planning. Once a path is available, feedback from odometry is used by a PID controller to achieve motion control. © 2018 IEEE.

关键词： Monte Carlo methods

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6D Pose Estimation Using an Improved Method Based on Point Pair Features

6D Pose Estimation Using an Improved Method Based on Point P...

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4th International conference on Control, Automation and robotics (ICCAR)

作者： Vidal, Joel Lin, Chyi-Yeu Marti, Robert Natl Taiwan Univ Sci & Technol Dept Mech Engn Taipei Taiwan Univ Girona Comp Vis & Robot Grp Girona Spain

ISBN: (纸本)9781538663387

the Point Pair Feature [4] has been one of the most successful 6D pose estimation method among model-based approaches as an efficient, integrated and compromise alternative to the traditional local and global pipelines. During the last years, several variations of the algorithm have been proposed. Among these extensions, the solution introduced by Hinterstoisser et al. [6] is a major contribution. this work presents a variation of this PPF method applied to the SIXD Challenge datasets presented at the 3rd International Workshop on Recovering 6D Object Pose held at the ICCV 2017. We report an average recall of 0.77 for all datasets and overall recall of 0.82, 0.67, 0.85, 0.37, 0.97 and 0.96 for hinterstoisser, tless, tudlight, rutgers, tejani and doumanoglou datasets, respectively.

关键词： 6D pose estimation 3D object recognition object detection 3D computer vision robotics range image

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