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Journal articles on the topic 'Vision – Computer simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 January 2023

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1

Cheng, Wen-Huang, Sijie Song, Chieh-Yun Chen, Shintami Chusnul Hidayati, and Jiaying Liu. "Fashion Meets Computer Vision." ACM Computing Surveys 54, no. 4 (July 2021): 1–41. http://dx.doi.org/10.1145/3447239.

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Fashion is the way we present ourselves to the world and has become one of the world’s largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention from computer vision researchers in recent years. Given the rapid development, this article provides a comprehensive survey of more than 200 major fashion-related works covering four main aspects for enabling intelligent fashion: (1) Fashion detection includes landmark detection, fashion parsing, and item retrieval; (2) Fashion analysis contains attribute recognition, style learning, and popularity prediction; (3) Fashi

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Gao, Fa Zhao. "The Simulation of the Psychological Impact of Computer Vision De-Noising Technology." Applied Mechanics and Materials 556-562 (May 2014): 5013–16. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5013.

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The paper mainly discusses the analysis method for the psychological impact of computer vision noising technology. Actually, people's psychological acceptance and corresponding memory capacity of computer vision images with lots of noise are relatively poor. The de-noising process to computer vision images can improve the clarity, thus generating passive psychological impact. Therefore, the paper proposes a spatial domain filtering algorithm-based de-noising method for computer vision. It establishes wavelet packet decomposition tree for computer vision images and de-noises accordance with the

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Wang, Jun, and Xiao Hua Ni. "Angle Measurement Based on Computer Vision." Applied Mechanics and Materials 456 (October 2013): 115–19. http://dx.doi.org/10.4028/www.scientific.net/amm.456.115.

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In order to improve the precision and the speed of angle measurement,A new method for measuring the angle of the workpiece is presented in this paper, which is based on the computer vision testing technology. The image of workpiece is obtained, the first step is image preprocessing, then the measured worpiece image is processed by edge detection through Canny algorithm, specific features of workpieces edge is fully extracted, Then one can accomplish line detection by using Hough transform, Finally, the angle value is obtained through the means of Angle Calculation. By employing practical examp

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Rauhut, Markus. "Paradigmenwechsel durch Simulation." wt Werkstattstechnik online 110, no. 01-02 (2020): 70–72. http://dx.doi.org/10.37544/1436-4980-2020-01-02-72.

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Mithilfe von Computer Vision, Computergrafik, maschinellem Lernen und Robotik wird am Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM ein virtuelles Framework konzipiert, welches das iterative Design eines Inspektionssystems unterstützt und somit ein fixes Bildaufnahme-Setup als Ausgangspunkt umgeht.

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ter Haar Romeny, Bart M. "Computer vision and Mathematica." Computing and Visualization in Science 5, no. 1 (July 2002): 53–65. http://dx.doi.org/10.1007/s00791-002-0087-3.

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Masroeri, Agoes Achmad, Juniarko Prananda, and Muhammad Bahru Sholahuddin. "Motion Detection Simulation of Container Crane Spreader Using Computer Vision." International Review of Mechanical Engineering (IREME) 13, no. 8 (August 31, 2019): 438. http://dx.doi.org/10.15866/ireme.v13i8.16117.

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Chavan, Y. V., D. K. Mishra, D. S. Bormane, and A. D. Shaligram. "Simulation of improved CMOS digital pixel sensor for computer vision." Journal of Optics 46, no. 1 (June 29, 2016): 1–7. http://dx.doi.org/10.1007/s12596-016-0350-5.

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Hu, Rui Min, Zhen Dong He, and Feng Bai. "The Research of 3D Human Motion Simulation and Video Analysis System Implemented in Sports Training." Advanced Materials Research 926-930 (May 2014): 2743–46. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2743.

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With the rapid development of computer technology, human motion tracking based on video is a kind of using ordinary camera tracking unmarked human movement technology. It has important application value in automatic monitoring, human-computer interaction, sports analysis and many other fields. This research is a hot research direction in the field of computer vision in recent years. Because of the complexity of the problem and the lack of understanding of the nature of the human visual tracking based on video is always a difficult problem in computer vision. The research content of this articl

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Xu, Fang. "Analysis and Simulation of Dynamic Vision in the City." Enquiry A Journal for Architectural Research 16, no. 2 (November 24, 2019): 64–89. http://dx.doi.org/10.17831/enq:arcc.v16i2.1059.

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This paper proposes a computer-aided Dynamic Visual Research and Design Protocol for environmental designers to analyze humans’ dynamic visual experiences in the city and to simulate dynamic vision in the design process. The Protocol recommends using action cameras to collect massive dynamic visual data from participants’ first-person perspectives. It prescribes a computer-aided visual analysis approach to produce cinematic charts and storyboards, which further afford qualitative interpretations for aesthetic assessment and discussion. Employing real-time 3D simulation technologies, the Protoc

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Jing, Sheng Gang, and Wen Yuan Wan. "Analysis of Lower Limbs Dynamics and its Application in the Sports Training Based on Computer Vision." Applied Mechanics and Materials 513-517 (February 2014): 3212–15. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3212.

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The lower limbs dynamics analysis model was researched, and applied it in the ports training based on computer vision. Through theoretical analysis and computer visual simulation, the detailed theoretical and simulation data was obtained for the lower limbs torque value, which was applied to sports training. Using the computer simulation technology, the human lower limbs skeletal dynamics model was established on the computer visual simulation platform. The joint torque values in different sports models were calculated for analyzing the optimum force and power mode. In the model building proce

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Alvarez, Luis. "Computer Vision and Image Processing in Environmental Research." Systems Analysis Modelling Simulation 43, no. 9 (September 2003): 1229–42. http://dx.doi.org/10.1080/0232929032000115010.

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Zou, Xiang Jun, Hai Xin Zou, J. Lu, Yan Chen, Ai Xia Guo, J. Z. Deng, and Lu Feng Luo. "Research on Manipulator Positioning Based on Stereo Vision in Virtual Environment." Key Engineering Materials 392-394 (October 2008): 200–204. http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.200.

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Inherent uncertainties always exist in the positioning picking manipulators in complex environment, modeling and simulation of positioning. The manipulators were discussed based on binocular stereo vision in virtual environment (VE). Based on stereo vision, a method how virtual manipulators locate picking object by human-computer interaction (HCI) was proposed. The data input from vision were mapped to virtual picking manipulators so that it could enable the positioning and simulation with route and events-driven mechanism. The positioning experimental platform in VE consists of hardware of CC

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Wahab Hashmi, Abdul, Harlal Singh Mali, Anoj Meena, Mohammad Farukh Hashmi, and Neeraj Dhanraj Bokde. "Surface Characteristics Measurement Using Computer Vision: A Review." Computer Modeling in Engineering & Sciences 135, no. 2 (2023): 917–1005. http://dx.doi.org/10.32604/cmes.2023.021223.

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Dai, Luo. "Modeling and Simulation of Athlete’s Error Motion Recognition Based on Computer Vision." Complexity 2021 (March 16, 2021): 1–10. http://dx.doi.org/10.1155/2021/5513957.

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Computer vision is widely used in manufacturing, sports, medical diagnosis, and other fields. In this article, a multifeature fusion error action expression method based on silhouette and optical flow information is proposed to overcome the shortcomings in the effectiveness of a single error action expression method based on the fusion of features for human body error action recognition. We analyse and discuss the human error action recognition method based on the idea of template matching to analyse the key issues that affect the overall expression of the error action sequences, and then, we

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Li, Peng. "Research on Visual Art Design Method Based on Virtual Reality." International Journal of Gaming and Computer-Mediated Simulations 13, no. 2 (April 2021): 16–25. http://dx.doi.org/10.4018/ijgcms.2021040102.

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In today's society, computer technology has been deeply rooted in the hearts of people. Computers are wonderful tools for creative thinking. It is an extension of our visual function and the function of the visual cortex of the brain. Through this extension, we can see more scenes that we could not see before. As a computer simulation system that creates and feels virtual worlds, 3D digital virtual reality technology uses a computer as a media simulation or a real or imaginary scene. It is a system simulation of interactive 3D dynamic vision and entity behavior based on diversified information

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Nedel, Luciana, Anderson Maciel, Carla Dal Sasso Freitas, Claudio Jung, Manuel Oliveira, Jacob Scharcanski, Joao Comba, and Marcelo Walter. "Enhancing the Human with Computers: Ongoing research at the Computer Graphics, Image Processing and Interaction Group." Journal on Interactive Systems 2, no. 2 (November 16, 2011): 1. http://dx.doi.org/10.5753/jis.2011.581.

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The Computer Graphics, Image Processing and Interaction (CGIP) group at UFRGS concentrates expertise from many different and complementary graphics related domains. In this paper we introduce the group and present our re- search lines and some ongoing projects. We selected mainly the projects related to 3D interaction and navigation, which includes applications as massive data visualization, surgery planning and simulation, tracking and computer vision algorithms, and modeling approaches for human perception and natural world.

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Gallo Sanabria, Jorge Daniel, Paula Andrea Mozuca Tamayo, and Rafael Iván Rincón Fonseca. "Autonomous trajectory following for an UAV based on computer vision." Visión electrónica 14, no. 1 (January 31, 2020): 51–56. http://dx.doi.org/10.14483/22484728.15968.

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The trajectory following performed by unmanned aerial vehicles has several advantages that can be taken to several applications, going from package delivery to agriculture. However, this involves several challenges depending on the way the following is performed, particularly in the case of trajectory following by using computer vision. In here we will show the design, the simulation and the implementation of a simple algorithm for trajectory following by using computer vision, this algorithm will be executed on a drone that will arrive into a wished point.

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Qasim, Mohammed, and Omar Y. Ismael. "Shared Control of a Robot Arm Using BCI and Computer Vision." Journal Européen des Systèmes Automatisés 55, no. 1 (February 28, 2022): 139–46. http://dx.doi.org/10.18280/jesa.550115.

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Brain-Computer Interface (BCI) is a device that can transform human thoughts into control commands. However, BCI aggravates the common problems of robot teleoperation due to its low-dimensional and noisy control commands, particularly when utilized to control high-DOF robots. Thus, a shared control strategy can enhance the BCI performance and reduce the workload for humans. This paper presents a shared control scheme that assists disabled people to control a robotic arm through a non-invasive Brain-Computer Interface (BCI) for reach and grasp activities. A novel algorithm is presented which ge

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Cai, De Liang, and Shao Na Lin. "A Study on Posture Correction Based on Computer Vision." Applied Mechanics and Materials 513-517 (February 2014): 3207–11. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3207.

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During basketball sport, the movement of a joint is quite complex. And if move fast, it is difficult to constrain by fix algorithm the subtle angle changes between joints. Traditional sports vision modeling method is unable to describe the moving changes of the small areas which causes the unsatisfactory measuring effect of subtle posture in motion. This paper proposes a measurement method for three-dimensional motion posture of basketball athletes. It converts the constrained optimization problem for motion parameters as a nonlinear minimization problem by optimizing human motion parameters;

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Wu, Zhi Long, and Zhi Jie Wang. "The Simulation of Retinal Inner Plexiform Layer Based on Parallel Algorithm." Advanced Materials Research 680 (April 2013): 509–14. http://dx.doi.org/10.4028/www.scientific.net/amr.680.509.

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The final objective of retinal simulation is to construct an artificial computer retina to replace the biological retina, and to offset the vision-impaired people. Due to the complexity of the retinal structure and the great number of bipolar cells and ganglion cells in retinal (exceeding tens of millions), both the speed and accuracy of the simulation of the retinal up to date are at a low level. In this paper we present a method for the simulation of inner plexiform layer of retina based on Compute Unified Device Architecture (CUDA) parallel algorithm to achieve the maximum utilization of CP

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Gong, Lin. "Simulating 3D Cloud Shape Based on Computer Vision and Particle System." Applied Mechanics and Materials 182-183 (June 2012): 819–22. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.819.

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Clouds are an important part of natural environment. The realistic simulation of cloud is a challenging topic in computer graphics. This paper proposes a simple, efficient approach based on computer vision and particle system to model various 3D clouds. This method use computer vision technology to extract 3D structure information of clouds from images, then using particles technology to fill the 3D space and render the cloud. This method is suitable to model all kinds of clouds, such as stratus, cumulus, cirrus etc. It is an improvement over earlier systems that modeled only one type of cloud

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Wei, Yuan, Tao Hong, and Chaoqun Fang. "Research on Information Fusion of Computer Vision and Radar Signals in UAV Target Identification." Discrete Dynamics in Nature and Society 2022 (July 19, 2022): 1–13. http://dx.doi.org/10.1155/2022/3898277.

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As one of the crucial sensing methods, multisensor fusion recognition aids the Internet of Things (IoT) in connecting things through ubiquitous perceptual terminals. The small size, sluggish flying speed, low flight altitude, and low electromagnetic intensity of unmanned aerial vehicles (UAVs) have put enormous strain on air traffic management and airspace security. It is urgent to achieve effective UAV target detection. The radio monitoring method, acoustic detection scheme, computer vision, and radar signal detection are commonly used technologies in this field. The radio monitoring approach

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Wang, Fa Yu, Zhen Li Gao, and Hong Yu Yin. "Design of Robot Lawn Mower Based on Computer Vision." Applied Mechanics and Materials 404 (September 2013): 624–30. http://dx.doi.org/10.4028/www.scientific.net/amm.404.624.

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In this paper, we introduce a new research about mowing robot on obstacle avoidanceand path tracking controlling theoretically and practically, and propose the mowing control methodwhich based on computer vision. Lawn images collected by camera, through the extraction ofprogramming dealing with lawn, obstacles and boundary characteristics to achieve edge separation.Through special processing algorithm to determine boundary arises and obstacles location, size andspeed of the robot, with real-time capturing and processing. This paper gives the complete imagerecognition processing, and analyzes s

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Zhu, Y. X., and X. S. Duan. "The Simulation of Vision Measurement System for Cannon Barrel Pose." Advanced Materials Research 588-589 (November 2012): 1337–40. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.1337.

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For the pose measurement of cannon barrel, a vision method through checked plane had been proposed. To test and improve the precision of this new method without considering the hardware error and some other inextricable objective factors，derive the imaging model of the marker (checked plane) from motion model of cannon barrel and the position relative to it using variable-controlling method. Establish the computer simulation platform of vision measurement system for cannon barrel pose based on C++ Builder. The simulation experiment validate the veracity and dependability of this method.

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Zhang, Yang, and Lin Li. "AR Sand Table with VSTAR System." Key Engineering Materials 480-481 (June 2011): 650–55. http://dx.doi.org/10.4028/www.scientific.net/kem.480-481.650.

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We have proposed a three-dimensional sand table based on the video see-through tabletop augmented reality (VSTAR) system. The hybrid registration algorithm is used combining marker-based OI iterative computer vision method and photoelectric encoders mechanical tracking method instead of computer vision method only, which makes tracking does not dependent on markers, so that the tracking field of vision is not limited to the scope of markers. The system is of high precision and can be used for architecture design show, military topography simulation, museum exhibition and other virtual sand tab

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Álvarez-Tuñón, Olaya, Alberto Jardón, and Carlos Balaguer. "Generation and Processing of Simulated Underwater Images for Infrastructure Visual Inspection with UUVs." Sensors 19, no. 24 (December 12, 2019): 5497. http://dx.doi.org/10.3390/s19245497.

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The development of computer vision algorithms for navigation or object detection is one of the key issues of underwater robotics. However, extracting features from underwater images is challenging due to the presence of lighting defects, which need to be counteracted. This requires good environmental knowledge, either as a dataset or as a physic model. The lack of available data, and the high variability of the conditions, makes difficult the development of robust enhancement algorithms. A framework for the development of underwater computer vision algorithms is presented, consisting of a meth

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Ganoni, Ori, Ramakrishnan Mukundan, and Richard Green. "A Generalized Simulation Framework for Tethered Remotely Operated Vehicles in Realistic Underwater Environments." Drones 3, no. 1 (December 21, 2018): 1. http://dx.doi.org/10.3390/drones3010001.

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This paper presents a framework for simulating visually realistic motion of underwater Remotely Operated Vehicles (ROVs) in highly complex models of aquatic environments. The models include a wide range of objects such as rocks, fish and marine plankton in addition to an ROV tether. A modified cable simulation for the underwater physical conditions has been developed for a tethered ROV. The simulation framework also incorporates models for low visibility conditions and intrinsic camera effects unique to the underwater environment. The visual models were implemented using the Unreal Engine 4 re

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Tang, Yi, Jin Qiu, and Ming Gao. "Fuzzy Medical Computer Vision Image Restoration and Visual Application." Computational and Mathematical Methods in Medicine 2022 (June 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/6454550.

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In order to shorten the image registration time and improve the imaging quality, this paper proposes a fuzzy medical computer vision image information recovery algorithm based on the fuzzy sparse representation algorithm. Firstly, by constructing a computer vision image acquisition model, the visual feature quantity of the fuzzy medical computer vision image is extracted, and the feature registration design of the fuzzy medical computer vision image is carried out by using the 3D visual reconstruction technology. Then, by establishing a multidimensional histogram structure model, the wavelet m

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Hoy, D. E. P., and F. Yu. "Surface quality assessment using computer vision methods." Journal of Materials Processing Technology 28, no. 1-2 (September 1991): 265–74. http://dx.doi.org/10.1016/0924-0136(91)90225-4.

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Zhou, Tong, and Yilei Wang. "The Application and Development Trend of Youth Sports Simulation Based on Computer Vision." Wireless Communications and Mobile Computing 2022 (August 21, 2022): 1–9. http://dx.doi.org/10.1155/2022/8500869.

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Based on computer vision technology, this paper presents a human motion analysis and target tracking technology based on computer vision. In terms of moving target detection, the current moving target detection technology is summarized, and some experimental results of the algorithm are given. The background difference method under monocular camera is emphatically analyzed. The preliminary human contour is obtained by the background difference method. In order to obtain a smoother target contour, the mathematical morphology is used to remove the noise, and the judgment algorithm of the size of

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A. Bukhari, Hanan. "FINE VISION TO HIGHLIGHT 3D RENDERING FOR PLAID FABRIC SIMULATION BY USING COMPUTER." مجلة دراسات وبحوث التربية النوعية 2, no. 2 (July 1, 2016): 370–92. http://dx.doi.org/10.21608/jsezu.2016.237045.

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Varagul, Jittima, and Toshio Ito. "Simulation of Detecting Function object for AGV Using Computer Vision with Neural Network." Procedia Computer Science 96 (2016): 159–68. http://dx.doi.org/10.1016/j.procs.2016.08.122.

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Sun, Zhe, Cheng Zhang, Jiawei Chen, Pingbo Tang, and Alper Yilmaz. "Predictive nuclear power plant outage control through computer vision and data-driven simulation." Progress in Nuclear Energy 127 (September 2020): 103448. http://dx.doi.org/10.1016/j.pnucene.2020.103448.

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Aneela, Banda. "Implementing a Real Time Virtual Mouse System and Fingertip Detection based on Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 25, 2021): 2265–70. http://dx.doi.org/10.22214/ijraset.2021.35485.

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Artificial intelligence refers to the simulation of human intelligence in computers that have been trained to think and act like humans. It is a broad branch of computer science devoted to the creation of intelligent machines capable of doing activities that would normally need human intelligence. Despite the fact that Artificial intelligence is a heterogeneous science with several techniques, developments in machine learning and deep learning are driving a paradigm shift in practically every business. Human-computer interaction requires the identification of hand gestures utilizing vision-bas

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Hégron, Gérard, Bruno Arnaldi, and Thierry Priol. "VISYR: a simulation tool for mobile robots using vision sensors." Visual Computer 3, no. 5 (March 1988): 298–303. http://dx.doi.org/10.1007/bf01914865.

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Xiang, Li, Lu Zheng, Li Zhicen, Zhu Wanchun, He Jintao, Yu Yaxiong, and Gong Jian. "Application of Computer 3D Digital Technology in Surgical Treatment of Pediatric Skull Deformity." E3S Web of Conferences 185 (2020): 03025. http://dx.doi.org/10.1051/e3sconf/202018503025.

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Pediatric skull deformity requires immediate surgery as indicated by increased cranial pressure, mental retardation, impaired or absent vision, cranial deformity, and mental and spiritual defects. This study explores the application value of computer aided simulation in treatment of pediatric skull deformity. The application of computer simulation surgery in the treatment of children with pediatric skull deformity allows surgeons to be familiar with the operation process in advance. The use of computer 3D digital technology for preoperative design planning and simulation can reduce surgical di

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Shen, Chen. "A Fabric Simulation Optimization Method Based on Intelligent 3D Vision Technology." Applied Mechanics and Materials 513-517 (February 2014): 4143–46. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.4143.

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Subjected to the randomness of motion state, simulated three-dimensional coordinates of the fabric will displace during moving. Mutation in motion state significantly increases the 3D randomness of fabric motion parameters, so that the three-dimensional coordinates of the fabric change in neighborhood leading to non-realistic simulation effect. To solve the problem, the paper proposes a three-dimensional visual fabric simulation algorithm based on feature matching and energy constrained estimation. It adds a certain area constraints to deformation and direction randomness of the fabric in moti

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Liu, Dalong, Yanfang Pan, and Liwei Li. "Logistics Engineering Simulation Using Computer 3D Modeling Technology." Journal of Physics: Conference Series 2143, no. 1 (December 1, 2021): 012018. http://dx.doi.org/10.1088/1742-6596/2143/1/012018.

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Abstract 3D modeling technology is an important branch of interdisciplinary fields such as computer graphics, intelligent information processing, computer vision, and artificial intelligence. Through computer digitization, collecting three-dimensional data information of the target object, and then processing and simulation reproduction through computer technology, plays an important role in logistics engineering (LE). The purpose of this paper is the simulation research of LE based on computer three-dimensional modeling technology. This paper takes LE as the research object, firstly elaborate

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Dong, Liang, Ding Gangyi, Yan Dapeng, and Huang Kexiang. "Multithreshold Image Segmentation and Computer Simulation Based on Interactive Processing System." Mobile Information Systems 2022 (July 8, 2022): 1–9. http://dx.doi.org/10.1155/2022/8091701.

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With the increasing application of interactive processing systems at all levels, in order to better and efficiently spread the application range of interactive processing systems, this study has researched and developed an application system for interactive online processing of DVB-SMODIS data. In addition, correct and improved algorithms are proposed for most of the problems in DVB-SMODIS data. In order to better improve the overall search ability of the BBO algorithm in multithreshold image segmentation, this study discusses a new BBO algorithm. Image segmentation is an important processing

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Wang, Junli, Shitong Wang, and Wenhao Leng. "Autonomous Piloting and Simulation on Underwater Manipulations Based on Vision Positioning." Mobile Information Systems 2022 (November 1, 2022): 1–10. http://dx.doi.org/10.1155/2022/2884611.

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ROV equipped with an underwater manipulator plays a very important role in underwater investigation, construction, and some other manipulations. Moving ROV precisely and operating an underwater manipulator to grasp and move some objects are frequent operations in underwater manipulations. At the same time, they also consume a lot of the physical strength of operators, which seriously degrades the efficiency of underwater manipulations. In this paper, a scheme of grasping the rod-shaped object autonomously is proposed. In the proposed scheme, two cameras are arranged on the ROV frame to form a

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Jara, Carlos A., Francisco A. Candelas, Pablo Gil, Fernando Torres, Francisco Esquembre, and Sebastián Dormido. "EJS+EjsRL: An interactive tool for industrial robots simulation, Computer Vision and remote operation." Robotics and Autonomous Systems 59, no. 6 (June 2011): 389–401. http://dx.doi.org/10.1016/j.robot.2011.02.002.

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Bao, Hongshu, and Xiang Yao. "Dynamic 3D image simulation of basketball movement based on embedded system and computer vision." Microprocessors and Microsystems 81 (March 2021): 103655. http://dx.doi.org/10.1016/j.micpro.2020.103655.

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Lee, Dongwoon. "Modeling and Simulation of Skeletal Muscle for Computer Graphics: A Survey." Foundations and Trends® in Computer Graphics and Vision 7, no. 4 (2011): 229–76. http://dx.doi.org/10.1561/0600000036.

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Xu, Siping, and Lan Chen. "Construction and Simulation of Deep Learning Algorithm for Robot Vision Tracking." Journal of Sensors 2022 (July 20, 2022): 1–6. http://dx.doi.org/10.1155/2022/1522657.

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As one of the indispensable basic branches of computer vision, visual object tracking has very important research value. Therefore, a deep learning based on robot vision tracking is evaluated. Based on the basic principles of target tracking and search principle, a deep learning algorithm for visual tracking is constructed, and finally, evaluated, and simulated. The results showed that the accuracy rate increased from 90.9% to 90.13% after the addition of channel attention mechanism module. Variance was reduced from 3.78% to 1.27%, with better stability. The EAO, accuracy, and robustness of th

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Mattoccia, Stefano, Branislav Kisačanin, Margrit Gelautz, Sek Chai, Ahmed Nabil Belbachir, Goksel Dedeoglu, and Fridtjof Stein. "Guest Editorial: Special Issue on Embedded Computer Vision." Journal of Signal Processing Systems 90, no. 6 (April 26, 2018): 873–76. http://dx.doi.org/10.1007/s11265-018-1365-8.

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Peterson, Marco, Minzhen Du, Bryant Springle, and Jonathan Black. "SpaceDrones 2.0—Hardware-in-the-Loop Simulation and Validation for Orbital and Deep Space Computer Vision and Machine Learning Tasking Using Free-Flying Drone Platforms." Aerospace 9, no. 5 (May 6, 2022): 254. http://dx.doi.org/10.3390/aerospace9050254.

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The proliferation of reusable space vehicles has fundamentally changed how assets are injected into the low earth orbit and beyond, increasing both the reliability and frequency of launches. Consequently, it has led to the rapid development and adoption of new technologies in the aerospace sector, including computer vision (CV), machine learning (ML)/artificial intelligence (AI), and distributed networking. All these technologies are necessary to enable truly autonomous “Human-out-of-the-loop” mission tasking for spaceborne applications as spacecrafts travel further into the solar system and o

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Sun, Zhiyuan, Linlin Huang, and Ruiqing Jia. "Coal and Gangue Separating Robot System Based on Computer Vision." Sensors 21, no. 4 (February 14, 2021): 1349. http://dx.doi.org/10.3390/s21041349.

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In coal production, the raw coal contains a large amount of gangue, which affects the quality of coal and pollutes the environment. Separating coal and gangue can improve coal quality, save energy, and reduce consumption and make rational use of resources. The separated gangue can also be reused. Robots with computer vision technology have become current research hotspots due to simple equipment, are efficient, and create no pollution to the environment. However, the difficulty in identifying coal and gangue is that the difference between coal and gangue is small, and the background and prospe

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Sahoo, Saumya R., and Shital S. Chiddarwar. "Flatness-based control scheme for hardware-in-the-loop simulations of omnidirectional mobile robot." SIMULATION 96, no. 2 (June 26, 2019): 169–83. http://dx.doi.org/10.1177/0037549719859064.

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Omnidirectional robots offer better maneuverability and a greater degree of freedom over conventional wheel mobile robots. However, the design of their control system remains a challenge. In this study, a real-time simulation system is used to design and develop a hardware-in-the-loop (HIL) simulation platform for an omnidirectional mobile robot using bond graphs and a flatness-based controller. The control input from the simulation model is transferred to the robot hardware through an Arduino microcontroller input board. For feedback to the simulation model, a Kinect-based vision system is us

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Kalantan, Zakiah I., and Jochen Einbeck. "Quantile-Based Estimation of the Finite Cauchy Mixture Model." Symmetry 11, no. 9 (September 19, 2019): 1186. http://dx.doi.org/10.3390/sym11091186.

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Heterogeneity and outliers are two aspects which add considerable complexity to the analysis of data. The Cauchy mixture model is an attractive device to deal with both issues simultaneously. This paper develops an Expectation-Maximization-type algorithm to estimate the Cauchy mixture parameters. The main ingredient of the algorithm are appropriately weighted component-wise quantiles which can be efficiently computed. The effectiveness of the method is demonstrated through a simulation study, and the techniques are illustrated by real data from the fields of psychology, engineering and compute

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Summers, Kenneth L., Thomas Preston Caudell, Kathryn Berkbigler, Brian Bush, Kei Davis, and Steve Smith. "Graph Visualization for the Analysis of the Structure and Dynamics of Extreme-Scale Supercomputers." Information Visualization 3, no. 3 (July 8, 2004): 209–22. http://dx.doi.org/10.1057/palgrave.ivs.9500079.

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We are exploring the development and application of information visualization techniques for the analysis of new massively parallel supercomputer architectures. Modern supercomputers typically comprise very large clusters of commodity SMPs interconnected by possibly dense and often non-standard networks. The scale, complexity, and inherent non-locality of the structure and dynamics of this hardware, and the operating systems and applications distributed over them, challenge traditional analysis methods. As part of the á la carte (A Los Alamos Computer Architecture Toolkit for Extreme-Scale Arc

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