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检索条件"任意字段=6th Indian Conference on Computer Vision, Graphics and Image Processing"

共 2018 条记录，以下是1441-1450 订阅

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the Decoding Method Based on Wavelet image En Vector Quantization

The Decoding Method Based on Wavelet Image En Vector Quantiz...

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6th International conference on Machine vision (ICMV)

作者： Liu Chun-yang Li Hui Wang Tao Harbin Univ Commerce HUC Harbin Peoples R China

ISBN: (纸本)9780819499967

With the rapidly progress of internet technology, large scale integrated circuit and computer technology, digital image processing technology has been greatly developed. Vector quantization technique plays a very important role in digital image compression. It has the advantages other than scalar quantization, which possesses the characteristics of higher compression ratio, simple algorithm of image decoding. Vector quantization, therefore, has been widely used in many practical fields. this paper will combine the wavelet analysis method and vector quantization E-n encoder efficiently, make a testing in standard image. the experiment result in PSNR will have a great improvement compared with the LBG algorithm.

关键词： wavelet analysis Vector quantization E-n

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Finger Mouse System Based on computer vision in Complex Backgrounds

Finger Mouse System Based on Computer Vision in Complex Back...

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6th International conference on Machine vision (ICMV)

作者： Xu, Jun Zhang, Xiong Southeast Univ Sch Elect Sci & Engn Display Ctr Nanjing Jiangsu Peoples R China

ISBN: (纸本)9780819499967

this paper presents a human-computer interaction system and realizes a real-time virtual mouse. Our system emulates the dragging and selecting functions of a mouse by recognizing bare hands, hence the control style is simple and intuitive. A single camera is used to capture hand images and a DSP chip is embedded as the image processing platform. To deal with complex backgrounds, particularly where skin-like or moving objects appear, we develop novel hand recognition algorithms Hand segmentation is achieved by skin color cue and background difference. Each input image is corrected according to the luminance and then skin color is extracted by Gaussian model. We employ a Camshift tracking algorithm which receives feedbacks from the recognition module. In fingertip recognition, a method combining template matching and circle drawing is proposed. Our system has advantages of good real-time performance, easy integration and energy conservation. Experiments show that the system is robust to the scaling and rotation of hands

关键词： Finger mouse computer vision hand gesture recognition complex backgrounds

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3D printers may reduce animal numbers to train neuroengineering procedures

3D printers may reduce animal numbers to train neuroengineer...

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6th International IEEE EMBS conference on Neural Engineering (NER)

作者： Pohl, Bernd M. Gasca, Fernando Christ, Olaf Hofmann, Ulrich G. Med Univ Lubeck Inst Signal Proc D-23562 Lubeck Germany Univ Lubeck Grad Sch Comp Med Lubeck Germany Univ Lubeck Inst Robot & Cognit Syst Lubeck Germany Univ Med Ctr Freiburg Res Grp Neuroelect Syst D-79108 Freiburg Germany

ISBN: (纸本)9781467319690

Neuroengineering related interventions to small animals always carry the high risk of missled procedures, frequently causing premature death of the animal. In this paper the manufacturing process to build a physical rat skull and brain model for educational use is presented. Out of MRI images a rat brain was segmented to build a negative mould. this form was used to cast an agarose rat brain. For an accompanying rat neurocranium model, CT images were rendered to a surface mesh and printed in 3D out of PLA. the presented workflow results in a high detailed rat skull and rat brain.

关键词： biomedical MRI brain models computerised tomography image segmentation medical image processing neurophysiology programmable logic arrays rendering (computer graphics) three-dimensional printing

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Neural Network Regression of Eyes Location in Face images

Neural Network Regression of Eyes Location in Face Images

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6th International conference on Multimedia Communications, Services and Security (MCSS)

作者： Rusek, Krzysztof Guzik, Piotr AGH Univ Sci & Technol Dept Telecommun Krakow Poland

ISBN: (纸本)9783642385599

Automatic eye localisation is a crucial part of many computer vision algorithms for processing face images. Some of the existing algorithms can be very accurate unfortunately at the cost of computational complexity. In this paper the new solution to the problem of automatic eye localisation is proposed. Eye localisation is posed as a nonlinear regression problem solved by standard feed-forward multilayer perceptron (MLP) with two hidden layers. Additionally the procedure for artificial training samples generation is proposed. the input feature vector is constructed from coefficients of two dimensional discrete cosine transform(DCT) of a face image. Both, the feature extraction and neural network prediction have known efficient implementations, thus the entire procedure can be very fast. Obtained results indicate that the accuracy of the proposed approach is comparable or better than existing ones.

关键词： eye localisation neural network DCT computer vision

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the system of anti-bud injury in seedcane cutting based on computer vision

The system of anti-bud injury in seedcane cutting based on c...

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6th International conference on computer and Computing Technologies in Agriculture, CCTA 2012

作者： Huang, Yiqi Qiao, Xi Yang, Jian College of Mechanical Engineering Guangxi University 530004 Nanning China

ISBN: (纸本)9783642361234

this article establishes a system of anti-bud injury in sugarcane cutting based on computer vision using MATLAB software as a development platform. the seedcane cutter box cuts twice each turn. Match the accurate shutter trigger time interval according to the rotation speed of the cutter , the transportation speed of sugarcane, in order to make the position of collected image of the target happen to be the next cutting site. image processing is based on digital image processing tools of Matlab, and the image is processed from two aspects of the cane edge of the curve smoothness and internode surface color using Matlab by which sort out the image suitable for the identification of sugarcane internode, and then deal with the collected images by filtering denoising and binarization to determine whether the cutter cuts sugarcane internode. When the recognition threshold is 3500, the recognition accuracy of this system is 99%. After modifying the recognition threshold to 4700, its recognition accuracy is 100%. © 2013 IFIP International Federation for Information processing.

关键词： MATLAB

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Emerging Intelligent Computing Technology and Applications: 9th International conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings 1

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丛书名： Communications in computer and Information Science 375

2013年

作者： Zhifeng Hao, Jinlong Huang, Ruichu Cai, Wen Wen (auth.), De-Shuang Huang, Phalguni Gupta, Ling Wang, Michael Gromiha (eds.)

ISBN: (数字)9783642396786

ISBN: (纸本)9783642396779;9783642396786

this book constitutes the refereed proceedings of the 9th International conference on Intelligent Computing, ICIC 2013, held in Nanning, China, in July 2013. the 192 revised full papers presented in the three volumes LNCS 7995, LNAI 7996, and CCIS 375 were carefully reviewed and selected from 561 submissions. the papers in this volume (CCIS 375) are organized in topical sections on Neural Networks; Systems Biology and Computational Biology; Computational Genomics and Proteomics; Knowledge Discovery and Data Mining; Evolutionary Learning and Genetic Algorithms; Machine Learning theory and Methods; Biomedical Informatics theory and Methods; Particle Swarm Optimization and Niche Technology; Unsupervised and Reinforcement Learning; Intelligent Computing in Bioinformatics; Intelligent Computing in Finance/Banking; Intelligent Computing in Petri Nets/Transportation Systems; Intelligent Computing in Signal processing; Intelligent Computing in Pattern Recognition; Intelligent Computing in image processing; Intelligent Computing in Robotics; Intelligent Computing in computer vision; Special Session on Biometrics System and Security for Intelligent Computing; Special Session on Bio-inspired Computing and Applications; computer Human Interaction using Multiple Visual Cues and Intelligent Computing; Special Session on Protein and Gene Bioinformatics: Analysis, Algorithms and Applications.

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Investigating the performance of motion estimation block-matching algorithms on GPU cards 6

Investigating the performance of motion estimation block-mat...

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6th Balkan conference in Informatics, BCI-LOCAL 2013

作者： Nishani, Eralda Çiço, Betim Frashëri, Neki Department of Computer Engineering Polytechnic University of Tirana Albania CST Faculty SEEU Tetovo Macedonia

In the field of video compression, motion estimation (ME) is a process that leads to high computational complexity. Implementation of ME block-matching (BM) algorithms on general purpose Central processing Unit (CPU), has resulted in poor performance. In this paper we investigate the performance of two BM ME algorithms: three Step Search (TSS) and Four Step Search (4SS) on graphics processing Unit (GPU) NVIDIA Quadro 400 using the Compute Unified Device Architecture (CUDA) platform. Both algorithms perform motion estimation on a block-by-block basis, which is considered the simplest way in terms of hardware and software implementation. the focus is to achieve parallelization of the algorithms for a real time execution. We consider two well-known test sequences: "football" and "mad900", with different image resolution. the results show that the implementation on a GPU card can improve the performance in terms of execution time, by a factor of 1000. Copyright © 2013 for the individual papers by the papers' authors.

关键词： graphics processing unit

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Robust visual tracking based on online learning of joint sparse dictionary

Robust visual tracking based on online learning of joint spa...

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6th International conference on Machine vision, ICMV 2013

作者： Li, Qiaozhe Qiao, Yu Yang, Jie Bai, Li Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China School of Computer Science University of Nottingham Nottingham United Kingdom

ISBN: (纸本)9780819499967

In this paper, we propose a robust visual tracking algorithm based on online learning of a joint sparse dictionary. the joint sparse dictionary consists of positive and negative sub-dictionaries, which model foreground and background objects respectively. An online dictionary learning method is developed to update the joint sparse dictionary by selecting both positive and negative bases from bags of positive and negative image patches/templates during tracking. A linear classifier is trained with sparse coefficients of image patches in the current frame, which are calculated using the joint sparse dictionary. this classifier is then used to locate the target in the next frame. Experimental results show that our tracking method is robust against object variation, occlusion and illumination change. © 2013 SPIE.

关键词： E-learning

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Video pre-processing for the improvement of an automated lameness detection system for dairy cows

Video pre-processing for the improvement of an automated lam...

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6th European conference on Precision Livestock Farming, ECPLF 2013

作者： Romanini, C.E.B. Viazzi, S. Van Hertem, T. Schlageter-Tello, A. Halachmi, I. Lokhorst, K. Bahr, C. Berckmans, D. Division M3-BIORES: Measure Model and Manage Bioresponses KU Leuven Kasteelpark Arenberg 30 B-3001 Leuven Belgium Volcani Center PO Box 6 Bet-Dagan IL-50250 Israel Animal Science Groups Wageningen UR Livestock Research P.O. Box 65 NL-8200AB Lelystad Netherlands

ISBN: (纸本)9789088263330

computer vision and image analysis are techniques with potential for use in animal health and welfare monitoring systems, since they are relatively inexpensive and do not interfere with the animals' environment. In an automatic lameness detection system for dairy cows, in particular, the performance of the model relies on the quality of the 3D input videos and therefore video pre-processing is required. this paper describes video pre-processing routines for automatic filtering of "video quality" and "cow's walking speed". Decision tree algorithms J.48 were used to classify model performance. the results show that the "video quality" filtering model correctly classified 75.7% of cases while the "cow's walking speed" achieved 91.3% accuracy. Detailed results are quantified in the form of a confusion matrix. Further optimisation of the 3D automated lameness detection system through pre-processing is needed before it can be used on commercial dairy farms.

关键词： Decision trees

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vision-based Tracking of Multiple Objects in Dynamic Unstructured Environments using Free-Form Obstacle Delimiters

Vision-based Tracking of Multiple Objects in Dynamic Unstruc...

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6th European conference on Mobile Robots (ECMR)

作者： Vatavu, Andrei Nedevschi, Sergiu Dept Comp Sci Str Memorandumului 28 Cluj Napoca Romania

ISBN: (纸本)9781479902637

Modeling and tracking of dynamic objects is a challenging research problem in the field of driving assistance systems. Typically, the environment to be tracked is heterogeneous and unstructured. As a consequence, the tracking system must deal with measurement uncertainties, occlusions or deformable objects. In this paper we propose a real-time object tracking solution for dynamic unstructured environments. this method relies on stereo vision-based 3D information that is mapped into an intermediate digital elevation map. We apply a recursive Bayesian approach for estimating both the obstacle dynamic parameters and its geometry. In order to compute the obstacle motion we use an Iterative Closest Points-based registration technique that takes into consideration the stereo uncertainties. In our case, the object model is represented by a reference point and N delimiter landmarks. For each target we apply a Kalman filter in order to track the obstacle position and speed. In addition, the object geometry is updated by using an independent 2x2 Kalman filter for each delimiter landmark. the proposed method works in real-time and takes into consideration the stereo uncertainties.

关键词： Bayes methods Kalman filters collision avoidance computational geometry computer vision image registration iterative methods object tracking parameter estimation stereo image processing

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