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检索条件"任意字段=1st Canadian Conference on Computer and Robot Vision"

共 308 条记录，以下是121-130 订阅

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1st International Symposium on Artificial Life and Intelligent Agents, ALIA 2014

1st International Symposium on Artificial Life and Intellige...

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1st International Symposium on Artificial Life and Intelligent Agents, ALIA 2014

ISBN: (纸本)9783319180830

The proceedings contain 13 papers. The special focus in this conference is on Learning, Evolution and Human Interaction. The topics include: Towards real-time behavioral evolution in video games;simulated road following using neuroevolution;enhancing active vision system categorization capability through uniform local binary patterns;learning in networked interactions;human robot-team interaction;an exploration on intuitive interfaces for robot control based on self organisation;adaptive training for aggression de-escalation;mobile GPGPU acceleration of embodied robot simulation;ashby’s mobile homeostat and multi-robot coverage.

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A Critical Analysis of computer Aided Approaches for Skin Cancer Screening 1

A Critical Analysis of Computer Aided Approaches for Skin Ca...

引用

1st International conference on Image Processing and robotics (ICIP)

作者： Selvarasa, Minoj Aponso, Achala Informat Inst Technol Colombo 6 Sri Lanka

ISBN: (纸本)9781728165417

Skin Cancer is life-threatening when diagnosed at a later stage. Early detection of skin cancers such as melanoma indicates a higher survival rate for the patient. Non-computer aided tools were used in the past such as the visual inspection using tools like the dermoscopy. Commercial tools were later introduced that allowed the examiners to examine the images obtained from the dermoscopy using techniques such as the ABCD rule and 7-point checklist. Deep Learning has proven to be the state-of-the-art for computer vision problems such as image classification. A lot of research has been carried out in the application of deep learning for automating skin cancer screening. This paper presents an analysis of the existing work carried out in the area of automatic skin cancer screening and the different steps involved in building a skin cancer classification tool for skin cancer screening. The limitations of the various existing approaches are explored, and the results of the analysis will be used as part of an ongoing research to design and develop a robust system that will address the identified cons.

关键词： Skin Cancer Screening computer vision Deep Learning Augmentation Segmentation CNN

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Precise high speed multi-target multi-sensor local positioning system

Precise high speed multi-target multi-sensor local positioni...

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canadian conference on computer and robot vision

作者： Eichel, Justin A. Clausi, David A. Fieguth, Paul Vision and Image Processing Lab. University of Waterloo Waterloo Canada

ISBN: (纸本)9780769543628

When used for tracking, the combination of infrared (IR) and an internal measurement unit (IMU) allows researchers and industry to locate objects to within 1 cm at over 200 Hz with a latency less than 2 ms. This novel tracking system uses multiple cameras to triangulate an IR LED placed on the object and utilizes IMU data to measure the object's orientation and allow the system to be robust against visual occlusions. The cost-effective IR system is robust against illumination allowing the object to be tracked at over 50 feet from the camera positions. This distance is expected to increase with additional development. This paper describes the preliminary algorithms that utilize the information from both the IR and IMU systems in order to precisely track an object. The algorithms are tested against simulated data generated from profiling the hardware and real data collected from a system prototype. © 2011 IEEE.

关键词： Cost effectiveness

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Proceedings of 2021 1st International conference on computer Science and Artificial Intelligence, ICCSAI 2021

Proceedings of 2021 1st International Conference on Computer...

引用

1st International conference on computer Science and Artificial Intelligence, ICCSAI 2021

ISBN: (纸本)9781728133331

The proceedings contain 81 papers. The topics discussed include: adaptive central pattern generators to control human/robot interactions;modelling personality prediction from user's posting on social media;web based application for ordering food raw materials;comparison of Gaussian hidden Markov model and convolutional neural network in sign language recognition system;intelligent computational model for early heart disease prediction using logistic regression and stochastic gradient descent (a preliminary study);an efficient system to collect data for ai training on multi-category object counting task;a comparison of artificial intelligence-based methods in traffic prediction;impact of computer vision with deep learning approach in medical imaging diagnosis;and development of portable temperature and air quality detector for preventing COVID-19.

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Model of Human Visual Cortex Inspired Computational Models for Visual Recognition 1

Model of Human Visual Cortex Inspired Computational Models f...

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IEEE First International conference on Multimedia Big Data

作者： Wang, Jinjun Hou, Qiqi Liu, Nan Zhang, Shizhou Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot 28 West Xianning Rd Xian 710049 Shaanxi Peoples R China

ISBN: (纸本)9781479986880

In this paper, we are mostly interested in investigating how the study and discovery of the human visual cortex could be utilised to improve the computational models for visual recognition by computer vision. Many of the brain perceptual abilities in vision have corresponding algorithms exist in computer vision, and in this paper we discuss three such models. First we present a model that has the ability for iterative bottom-up/top-down recognition, and experimental results on applying the model for facial landmark detection has shown improved accuracy over benchmark approaches. Second we introduce a new SOM model that could be deep and invariant, which could achieve significantly improved digit recognition accuracy over traditional SOM. And third we show how the convolutional neural network could be combined with linear coding based architecture, where experimental results show that the proposed model could outperform many existing algorithms for image classification.

关键词： computer vision

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Spatial-and-temporal-weighted structure from motion

Spatial-and-temporal-weighted structure from motion

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canadian conference on computer and robot vision

作者： Wang, Guanghui Zelek, John S. Wu, Q.M. Jonathan Department of Systems Design Engineering University of Waterloo Waterloo ON N2L 3G1 Canada Department of Electrical and Computer Engineering University of Windsor Windsor ON N9B 3P4 Canada

ISBN: (纸本)9780769543628

The paper focuses on the problem of structure from motion and proposes a spatial-and-temporal-weighted factorization algorithm. The contributions of the paper are as follows: First, it is demonstrated that the image reprojection error is generally in proportion to the error magnitude contained in the image. Second, the error distribution contained in the measurement matrix is modelled spatially and temporally from the image reprojection residuals. Third, based on the estimated error distribution, a spatial-and-temporal-weighted factorization algorithm is proposed to handle the uncertainty caused by significant image noises. Compared with existing approaches, the proposed technique does not require a prior information of image measurement, and it is easy to implement. Extensive experiments on synthetic data and real images are performed to validate the proposed method. © 2011 IEEE.

关键词： Factorization

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Human visual system based framework for concealed weapon detection

Human visual system based framework for concealed weapon det...

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canadian conference on computer and robot vision

作者： Bhatnagar, Gaurav Wu, Q.M. Jonathan Department of Electrical and Computer Engineering University of Windsor Windsor ON N9C 1M2 Canada

ISBN: (纸本)9780769543628

In this paper, an efficient concealed weapon detection algorithm is proposed which uses the characteristics of human visual system in frame let domain. The main idea is to decompose the visual and IR/MMW images to be fused into low and high frequency bands using frame let transform. The fusion is performed by two different strategies while exploiting the characteristics of low and high frequency bands. The first strategy is adaptive weighted average based on local energy and is applied to fuse the low-frequency bands. In order to fuse high frequency bands, a new strategy is developed based on texture while exploiting the human visual system characteristics, which can preserve more details from source images and further improve the quality of detected weapons in the fused image. Experimental results demonstrate the efficiency and robustness of the proposed concealed weapon detection algorithm in visual inspection and objective evaluation criteria. © 2011 IEEE.

关键词： Image fusion

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Design of a PC-based Open Industrial robot Control System Integrated with Real-Time Machine vision 1

Design of a PC-based Open Industrial Robot Control System In...

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1st World robot conference (WRC) / Symposium on Advanced robotics and Automation (SARA)

作者： Liu, Yanan Hu, Tianliang Ni, Hepeng Zhang, Chengrui Lin, Bao Judd, Euan Univ Bristol Bristol Robot Lab Bristol BS16 1QY Avon England Shandong Univ Sch Mech Engn Jinan 250061 Shandong Peoples R China Shandong Univ Key Lab High Efficiency & Clean Mech Manufacture Minist Educ Jinan 250061 Shandong Peoples R China

ISBN: (纸本)9781538676752

This paper presents a new industrial robot control system integrated with real-time image processing based on a Windows PC. This enables both machine vision and robot control tasks to be carried out on a single general-purpose computer rather than using two separate systems to perform different tasks. To accomplish this, a three-layer software structure is developed along with a series of standard peripheral devices in the hardware layout. Real-time performance of the system is tested and we demonstrate the system on a DELTA parallel manipulator. Experimental results show that the manipulator can pick up 120 objects on a moving conveyor per minute. This work demonstrates the feasibility of integrating real-time machine vision tasks with robot control tasks without dedicated hardware.

关键词： Real-time systems Hardware robot control Machine vision Microsoft Windows standards

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Construction of a computer vision Test Platform: VISART for Facial Recognition in Social robotics 1st

Construction of a Computer Vision Test Platform: VISART for ...

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1st International conference on Applied Technologies (ICAT)

作者： Rodriguez, Edwin Gutierrez, Christian Ochoa, Cristian Travez, Freddy Escobar, Luis Loza, David Univ Fuerzas Armadas ESPE Dept Energy & Mech Sangolqui 170121 Pichincha Ecuador

ISBN: (纸本)9783030425203;9783030425197

robotics has undoubtedly found its way deeper into every day human tasks up to the point where now they even share workspaces with people. In this context, social robotics has increased its field of action, one important part is the advances in aspects that make up the Human-Machine Interaction. This article reports the advance that an investigation team at Universidad de las Fuerzas Armadas ESPE has done to create a test platform for computer vision algorithms. This approach consists of a 3-DOF articulated robotic head with anthropomorphic characteristics, considering the guidelines established by different authors for social robotics, besides it provides affordable, flexible and scalable hardware resources to facilitate the implementation, testing, analysis and development of different stereo artificial vision algorithms. The system, called Visart, is intended to work in more natural situations than independent cameras, therefore, work deeply in Human-robot Interaction. As the first report of the Visart prototype, some basic tests with the platform were performed, they consist of face detection, facial and expression recognition, object tracking, and object distance calculation. The results obtained were consistent, opening a door for further research focusing on the comparison of more computer vision algorithms to examine their performance in real scenarios and evaluate them more naturally with our prototype for Human-robot Interaction.

关键词： HRI computer vision Human-robot Interaction Anthropomorphic robot Social robotics

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Compact robot for image-guided orthopedic surgery: Concept and preliminary results

Compact robot for image-guided orthopedic surgery: Concept a...

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Proceedings of the 1997 1st Joint conference computer vision, Virtual Reality and robotics in Medicine and Medical robotics and computer-Assisted Surgery, CVRMed-MRCAS'97

作者： Brandt, G. Radermacher, K. Lavallee, S. staudte, H.-W. Rau, G.

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