检索结果-内蒙古大学图书馆

Australian pattern recognition Society (APRS)

作者： Scoleri, Tony Chojnacki, Wojciech Brooks, Michael J. Defence Science and Technology Organisation Edinburgh SA 5111 Australia School of Computer Science University of Adelaide Adelaide SA 5005 Australia

ISBN: (纸本)0769530672

We consider the problem of estimating parameters of a model described by a system of equations which underlies a wide class of computer vision applications. One method to solve such a problem is the fundamental numerical scheme (FNS) previously proposed by some of the authors. In this paper, a more stable version of FNS is developed, with better convergence properties than the original version. The improvement in performance is achieved by reducing the original estimation problem to a couple of problems of lower dimension. By way of example, the new algorithm has been applied to the problem of estimating the trifocal tensor relating three views of a scene. Experiments carried out with both synthetic and real images reveal the new estimator to be more stable compared to the original FNS method, and commensurate in accuracy with the Gold Standard maximum likelihood estimator. © 2007 Crown Copyright.

关键词： Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

Adaptive Lee enhancement algorithm for processing drop_quality image

Adaptive Lee enhancement algorithm for processing drop_quali...

引用

Conference on Medical Imaging, Parallel Processing of Images, and Optimization Techniques

作者： Wang, Xinsai He, Jing Li, Xue He, Ming Air Def Forces Command Acad Infrared & Radio Frequency Technol Ctr Zhengzhou 450052 Peoples R China Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469533

In order to transform image contrast and enhance vision effect the enhancement processing of image is need in the system of object recognition and automatic target tracking. The methods of image enhancement are more, for example, linearity, line segment, nonlinear, histogram equalization, histogram normalization, power exponent, local gray-level statistic feature and so on. Through analyzing gradient characteristic of image gray-level, in this paper the method of image enhancement is presented based on the local statistic arithmetic of neighborhood grads even. Experiment results show the correctness and utility of this method.

关键词： local statistic drop quality image Lee enhancement algorithm mean gradient neighborhood

来源：评论

学校读者我要写书评

暂无评论

Relative pose estimation of surgical tools in assisted minimally invasive surgery

Relative pose estimation of surgical tools in assisted minim...

引用

3rd Iberian Conference on pattern recognition and Image Analysis

作者： Navarro, Agustin Villarraga, Edgar Aranda, Joan Tech Univ Catalonia ESAII Dept Barcelona Spain

ISBN: (纸本)9783540728481

Minimally Invasive Surgery (MIS) is one of these applications where usually only 2D information is available to perform a 3D task. It requires a high degree of sensory-motor skills to overcome the disengagement between action and perception caused by the physical separation of the surgeon with the operative site. The integration of body movements with visual information serves to assist the surgeon providing a sense of position. Our purpose in this paper is to present a solution to the exterior orientation problem based on computer vision, as a tool in assisted interventions, locating the instruments with respect to the surgeon. Having knowledge of the 3D transformations applied to the instrument and its projections in the image plane, we show it is possible to estimate its orientation with only two different rotations and also its relative position if scale information is supplied. Experimental results show some advantages of this new algorithm such as simplicity and real-time performance.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Perceived image contrast measurement using multi-scale adaptation and spatial vision characteristics

Perceived image contrast measurement using multi-scale adapt...

引用

2007 International Conference on Image Processing, computer vision, and pattern recognition, IPCV 2007

作者： Choi, Jongsoo Yang, Seungji Joseph, Bwalya Kelvin Park, Soo-Jun Ro, Yong Man 119 Munjiro Yuseong-Gu Daejeon 305-732 Korea Republic of Korea Republic of

ISBN: (纸本)9781601320438

Image contrast is an objective measure representing one of the distinct visual information. Although several contrast definitions are available in the literatures, most fail to match human perception. In this paper, we propose a no-reference objective contrast metric for complex images which follows the human visual perception. The contrast metric is obtained using the contrast perception depending image spatial frequency. Furthermore, the proposed contrast measurement includes integrating factors of human visual characteristics such as multi-scale property, contrast constancy property (supra-threshold region), color channel property and local adaptation property of the contrast sensitivity function (CSF).

关键词： Contrast sensitivity function Human visual system Perceived contrast

来源：评论

学校读者我要写书评

暂无评论

Convergence of map seeking circuits

引用

JOURNAL OF MATHEMATICAL IMAGING AND vision 2007年第2-3期29卷 235-248页

作者： Gedeon, Tomas Arathorn, David Montana State Univ Dept Math Sci Bozeman MT 59715 USA Montana State Univ Gen Intelligence Corp Ctr Computat Biol Bozeman MT 59715 USA

The map-seeking circuit (MSC) is an explicit biologically-motivated computational mechanism which provides practical solution of problems in object recognition, image registration and stabilization, limb inverse-kinematics and other inverse problems which involve transformation discovery. We formulate this algorithm as discrete dynamical system on a set Delta = Pi(L)(l=1)Delta((l)), where each Delta((l)) is a compact subset of a nonnegative orthant of R-n, and show that for an open and dense set of initial conditions in Delta the corresponding solutions converge to either a vector with unique nonzero element in each Delta((l)) or to a zero vector. The first result implies that the circuit finds a unique best mapping which relates reference pattern to a target pattern;the second result is interpreted as "no match found". These results verify numerically observed behavior in numerous practical applications.

关键词： map seeking circuits computer vision dynamical systems Lyapunov function

来源：评论

学校读者我要写书评

暂无评论

A computer vision system for appearance-based descriptive sensory evaluation of meals

引用

JOURNAL OF FOOD ENGINEERING 2007年第1期78卷 246-256页

作者： Munkevik, Per Hall, Gunnar Duckett, Tom Swedish Inst Food & Biotechnol SE-40229 Gothenburg Sweden Univ Orebro Dept Technol Ctr Appl Autonomous Sensor Syst SE-70182 Orebro Sweden

This paper presents a complete machine vision system for automatic descriptive sensory evaluation of meals. A human sensory panel first developed a set of 72 sensory attributes describing the appearance of a prototypical meal, and then evaluated the intensities of those attributes on a data set of 58 images of example meals. This data was then used both to train and validate the performance of the artificial system. This system covers all stages of image analysis from pre-processing to pattern recognition, including novel techniques for enhancing the segmentation of meal components and extracting image features that mimic the attributes developed by the panel. Artificial neural networks were used to learn the mapping from image features to attribute intensity values. The results showed that the new system was extremely good in learning and reproducing the opinion of the human sensory experts, achieving almost the same performance as the panel members themselves. (c) 2005 Elsevier Ltd. All rights reserved.

关键词： artificial neural network sensory descriptive evaluation Bayes classifier appearance meal image analysis

来源：评论

学校读者我要写书评

暂无评论

INVICON:: A toolkit for knowledge-based control of vision systems

INVICON:: A toolkit for knowledge-based control of vision sy...

引用

4th Canadian Conference on computer and Robot vision

作者： Borzenko, Olena Lesperance, Yves Jenkin, Michael York Univ Comp Sci & Engn 4700 Keele St Toronto ON M3J 1P3 Canada

ISBN: (纸本)9780769527864

To perform as desired in a dynamic environment a vision system must adapt to a variety of operating conditions by selecting vision modules, tuning their parameters, and controlling image acquisition. Knowleage-based (KB) controller-agents that reason over explicitly represented knowledge and interact with their environment can be used for this task;however the lack of a unifying methodology and development tools makes KB controllers difficult to create, maintain, and reuse. This paper presents the INVICON toolkit, based on the IndiGolog agent programming language with elements from control theory. It provides a basic methodology, a vision module declaration template, a suite of control components, and support tools for KB controller development. We have evaluated INVICON in two case studies that involved controlling vision-based pose estimation systems. The case studies show that INVICON reduces the effort needed to build. KB controllers for challenging domains and improves their flexibility and robustness.

关键词： Gesture recognition

来源：评论

学校读者我要写书评

暂无评论

Accuracy versus speed in context-based object detection

引用

pattern recognition LETTERS 2007年第6期28卷 686-694页

作者： Bergboer, Nick Postma, Eric van den Herik, Jaap Maastricht Univ MICC IKAT NL-6200 MD Maastricht Netherlands

The visual detection and recognition of objects is facilitated by context. This paper studies two types of learning methods for realizing context-based object detection in paintings. The first method is called the gradient method;it learns to transform the spatial context into a gradient towards the object. The second method, the context-detection method, learns to detect image regions that are likely to contain objects. The accuracy and speed of both methods are evaluated on a face-detection task involving natural and painted faces in a wide variety of contexts. The experimental results show that the gradient method enhances accuracy at the cost of computational speed, whereas the context-detection method optimises speed at the cost of accuracy. The different results of both methods are argued to arise from the different ways in which the methods trade-off accuracy and speed. We conclude that both the gradient method and the context-detection method can be applied to reliable and fast object detection in paintings and that the choice for either method depends on the application and user constraints. (c) 2006 Elsevier B.V. All rights reserved.

关键词： computer vision object detection face detection machine learning

来源：评论

学校读者我要写书评

暂无评论

Neural networks for matching in computer vision

Neural networks for matching in computer vision

引用

11th International Conference on Knowledge-Based Intelligent Informational and Engineering Systems/17th Italian Workshop on Neural Networks

作者： Cirrincione, Giansalvo Cirrincione, Maurizio Univ Picardie Lab CREA Dept Elect Engn 33 Rue St Leu F-80039 Amiens France Univ Technol Belfort Montbeliard UTBM F-90010 Belfort France

ISBN: (纸本)9783540748175

A very important problem in computer vision is the matching, of features extracted from pairs of images. At this proposal, a new neural network, the Double Asynchronous Competitor (DAC) is presented. It exploits the self-organization for solving the matching as a pattern recognition problem. As a consequence, a set of attributes is required for each image feature. The network is able to find the variety of the input space. DAC exploits two intercoupled neural networks and outputs the matches together with the occlusion maps of the pair of frames taken in consideration. DAC can also solve other matching problems.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Orientation selective contour detection using oriented motion blur

Orientation selective contour detection using oriented motio...

引用

2007 International Conference on Artificial Intelligence and pattern recognition, AIPR 2007

作者： Resko, Barna Baranyi, Péter Computer and Automation Research Institute Hungarian Academy of Sciences Cognitive Vision Research Group Hungary Budapest University of Technology and Economics Department of Automation and Applied Informatics Hungary

ISBN: (纸本)9781615677214

Cognitive informatics is a very hot topic today, trying to provide solutions to problems in computation that are easily solved by the brain but are hard for a computer. The information processing properties of the brain are taken as the basis for such artificial systems. The first step of visual information processing, the extraction of orientation selective contours, is done in the primary visual cortex. A similar, orientation based filtering can be the first step in many vision systems of cognitive informatics. This paper presents a new approach to orientation selective contour detection. Oriented motion blur is used to filter for the desired orientations. The motion blur operation is performed before digitalization, using a vibrating mirror. The proposed technique not only provides a very high speed, high resolution contour detector, but also solves the problem of contour discontinuities.

关键词： Cognitive systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：