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Pre-marking methods for 3D object recognition 三维物体识别的预标记方法
R. Safaee-Rad, B. Benhabib, Kenneth C. Smith, Z. Zhou
Two premarking methods are proposed for a new 3D object recognition system under development at the University of Toronto. In this system, an object is modeled using only a small number of 2D distinct perspective views (standard views) predefined wit the help of markers placed on the object. During the recognition process, a standard view is acquired by first determining its surface normal (standard-view axis), and then aligning the camera's optical axis with it. Standard-view axes are obtained by analyzing the images of the markers. A morphological skeleton transform (MST) is used for the extraction of required marker features. This work presents the analytical solution for the two proposed premarking schemes, based on circular markers, that can be used in acquiring standard views of objects. Specific issues addressed include: the determination of the perspective distortion and its relative importance, the determination of the transformation parameters required for camera alignment, and the use of a class of MST, pseudo-Euclidean skeletons, for feature extraction.<>
针对多伦多大学正在开发的一种新的三维物体识别系统,提出了两种预标记方法。在该系统中,对象仅使用少量2D不同透视图(标准视图)进行建模,这些视图是通过放置在对象上的标记预先定义的。在识别过程中,首先确定其表面法线(标准视点轴),然后将相机的光轴与其对齐,从而获得标准视图。通过分析标记点的图像,得到标准视图轴。形态学骨架变换(MST)用于提取所需的标记特征。这项工作提出了两种基于圆形标记的预标记方案的分析解决方案,可用于获取对象的标准视图。解决的具体问题包括:确定透视失真及其相对重要性,确定相机对准所需的转换参数,以及使用一类MST,伪欧几里得骨架进行特征提取
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引用次数: 13
Decision making in supervisory control of a flexible manufacturing system 柔性制造系统监控中的决策
Dean Alan Hettenbach, C. Mitchell, T. Govindaraj
An evaluation is made of the decision processes of humans in a flexible manufacturing system (FMS) environment. GT-FMS, a real-time simulator of an FMS, was implemented with data from an actual FMS installation. An experiment was conducted in which humans interacted with the control system of GT-FMS at an aggregate level. The humans described each of their control actions, and their decision processes were evaluated by mapping these descriptions onto a standard model of human decision-making. The experimental results support making humans an integral part of the FMS control process, since an intricate knowledge of the system state and system sensitivity were crucial to human decision-making in GT-FMS. Humans in this experiment used detailed system status information, rather than system performance history, as the basis of their control decisions and were inconsistent in defining their goals.<>
对柔性制造系统(FMS)环境中人的决策过程进行了评价。GT-FMS是FMS的实时模拟器,使用实际FMS安装的数据实现。进行了人类与GT-FMS控制系统在总体水平上相互作用的实验。人类描述了他们的每一个控制动作,并通过将这些描述映射到人类决策的标准模型来评估他们的决策过程。实验结果支持将人作为FMS控制过程的组成部分,因为在GT-FMS中,对系统状态和系统敏感性的复杂知识对人的决策至关重要。在这个实验中,人类使用详细的系统状态信息,而不是系统性能历史,作为他们控制决策的基础,并且在定义他们的目标时是不一致的。
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引用次数: 9
System design and evaluation with hypertext checklists 超文本检查表的系统设计和评估
G. Perlman
A discussion is presented of how hypertext software can aid in the utilization of technical reference sources in system design and evaluation. Technical reference sources such as collections of guidelines and standards can contain hundreds or thousands of points to which system designers should or must conform. Important points can be used to define system specific design rules, and can later be used as checkpoints in a checklist to evaluate conformance. Hypertext access to technical reference sources can make it easier to find checkpoints that are relevant to specific system requirement areas. Hypertext can encode ratings of importance of and conformance to checkpoints. NaviText SAM implements the checklist method of system design and evaluation in a hypertext interface to a large design reference source. Experience with the method and the system indicates that checklists are useful aids to conform to checkpoints and that hypertext provides advantages over manual checklists.<>
讨论了超文本软件如何在系统设计和评估中帮助利用技术参考资源。技术参考来源,如指导方针和标准的集合,可能包含数百或数千点,系统设计人员应该或必须遵守这些点。重要的点可用于定义系统特定的设计规则,并可在稍后用作检查表中的检查点,以评估一致性。对技术参考源的超文本访问可以更容易地找到与特定系统需求领域相关的检查点。超文本可以对检查点的重要性和一致性进行编码。NaviText SAM在一个大型设计参考源的超文本界面中实现了系统设计和评估的检查表方法。使用该方法和系统的经验表明,检查表是符合检查点的有用辅助工具,超文本提供了优于手动检查表的优点。
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引用次数: 8
Signal processing in neuron network: a radically different view 神经元网络中的信号处理:一个完全不同的观点
H. Sakai, K. Naka
The neuron network in the inner catfish retina was studied by injecting current from the one neuron and recording resulting responses into a nearby neuron. Current injected into an amacrine or a ganglion cell always produced a response from neighboring amacrine or ganglion cells chosen randomly. Bidirectional communications were found to exist for neurons of similar response patterns, e.g. on-cell pair, off-cell pair, or on-off cell pairs. These communications are mutually excitatory, fast, and likely linear. Single transmission between neurons of different response patterns was also shown to exist.<>
通过从一个神经元注入电流并将产生的反应记录到附近的神经元,研究了鲶鱼视网膜内部的神经元网络。电流注入一个无突细胞或神经节细胞总是产生邻近的无突细胞或神经节细胞随机选择的反应。双向通信被发现存在于类似的反应模式的神经元,如细胞对,细胞对,或开关细胞对。这些交流是相互兴奋的,快速的,很可能是线性的。不同反应模式的神经元之间也存在单一传递。
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引用次数: 0
A modified reduced update Kalman filter for images degraded by non-Gaussian additive noise 一种用于非高斯加性噪声退化图像的改进的简化卡尔曼滤波
Wen-Roii Wu, A. Kundu
The authors consider the problem of filtering images corrupted by non-Gaussian noise using the Kalman filter. Specifically, they have used the reduced updated Kalman filter (RUKF) for the sake of computational savings. They modified the original RUKF to accommodate the non-Gaussian noise using an efficient scheme proposed by them previously (1989). It is shown that the modification is simple and the results are satisfactory.<>
本文研究了用卡尔曼滤波器对非高斯噪声图像进行滤波的问题。具体来说,为了节省计算量,他们使用了简化的更新卡尔曼滤波器(RUKF)。他们修改了原来的RUKF,以适应非高斯噪声,使用他们之前(1989)提出的有效方案。结果表明,修正方法简单,效果令人满意。
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引用次数: 2
A system for machine learning based on algorithmic probability 基于算法概率的机器学习系统
R. Solomonoff
The author has previously used algorithmic probability theory (APT) to construct a system for machine learning of great power and generality (1986). The article concerns the design of sequences of problems to train this system. APT provides a general model of the learning process that makes it possible to understand and overcome many of the limitations of existing programs for machine learning. Starting with a machine containing a small set of concepts, use is made of a carefully designed sequence of problems of increasing difficulty to bring the machine to a high level of problem-solving skill. The use of training sequences of problems for machine knowledge acquisition promises to yield expert systems that will be easier to train and free of the brittleness that characterizes the narrow specialization of present-day systems of this sort. It is also expected that this research will give needed insight into the design of training sequences for human learning.<>
作者此前曾利用算法概率论(APT)构建了一个强大而通用的机器学习系统(1986)。本文讨论了训练该系统的问题序列的设计。APT提供了一个学习过程的通用模型,使理解和克服现有机器学习程序的许多限制成为可能。从包含少量概念的机器开始,使用精心设计的问题序列,增加难度,使机器具有高水平的解决问题的技能。使用问题的训练序列来获取机器知识有望产生专家系统,这些系统将更容易训练,并且没有当今这类系统的狭窄专业化特征所具有的脆弱性。这项研究也有望为人类学习训练序列的设计提供必要的见解。
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引用次数: 1
Intelligent tutoring systems: perspective 智能辅导系统:视角
H. Burns, J. W. Parlett, J. Bushman
The dimensions are studied of an intelligent tutoring system (ITS) by examining the major knowledge structures required for an ITS: domain knowledge, instructional knowledge, communication knowledge, and user knowledge. This in-depth analysis of ITS provides a framework for future research perspectives on ITS design and development.<>
通过考察智能辅导系统所需的主要知识结构:领域知识、教学知识、交流知识和用户知识,研究了智能辅导系统(ITS)的维度。对智能交通系统的深入分析为未来智能交通系统设计和开发的研究前景提供了一个框架。
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引用次数: 0
Test sequencing in modular systems 模块化系统的测试排序
K. Pattipati, M. Dontamsetty
Motivated by the need to increase the availability of systems, the primary focus of diagnosis in field maintenance is to locate the faculty modules. The authors consider the problem of constructing optimal test sequences to diagnose faults in such modular systems. This generalized test sequencing problem is solved by an AND/OR graph search procedure, wherein information-theoretic heuristic evaluation functions are modified to account for modular fault diagnosis. The effectiveness of the algorithm is demonstrated on various test cases.<>
由于需要增加系统的可用性,现场维护诊断的主要重点是定位教员模块。作者考虑了在这种模块化系统中构造最优测试序列来诊断故障的问题。该通用测试排序问题通过AND/OR图搜索过程解决,其中修改了信息论启发式评估函数以考虑模块化故障诊断。在多个测试用例上验证了该算法的有效性
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引用次数: 3
Human-based character string image retrieval from textual images 从文本图像中检索基于人的字符串图像
K. Yokosawa
A direct character-string retrieval method based on human search characteristics is proposed for Japanese textual image processing. In an experiment in which human subjects were to identify characters shown on a CRT screen, character-string search performance was better than single-character search performance in Japanese sentence contexts. This result suggests that character strings contain more information than characters alone. The analysis of reaction times shows that there are two stages in visual search. A character-string image retrieval system which, human-like, has two stages is effective in searching target images in ninety Japanese textual images. Moreover, human-like performance is obtained from the system: for example, it more easily identifies character-string images than single-character images.<>
提出了一种基于人查特征的日语文本图像直接字符串检索方法。在一项让人类受试者识别CRT屏幕上显示的字符的实验中,在日语句子语境中,字符串搜索性能优于单字符搜索性能。这个结果表明字符串比单独的字符包含更多的信息。对反应时间的分析表明,视觉搜索分为两个阶段。一种仿人两阶段的字符串图像检索系统对90幅日语文本图像进行了目标图像的有效检索。此外,从系统中获得了类似人类的性能:例如,它比单字符图像更容易识别字符串图像。
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引用次数: 2
Epsilon-optimal discretized pursuit learning automata 最优离散追求学习自动机
B. Oommen, J. Lanctôt
The authors consider the problem of a stochastic learning automaton interacting with an unknown random environment. The fundamental problem is that of learning, through interaction, the best action (that is, the action which is rewarded optimally) allowed by the environment. By using running estimates of reward probabilities to learn the optimal action, an extremely efficient pursuit algorithm was obtained by M.A.L. Thathachar et al. (1986, 1989) which is presently among the fastest-growing algorithms known. In the present work, the authors investigate the improvements gained by rendering the pursuit algorithm discrete. This is done by restricting the probability of selecting an action to a finite and, hence, discrete subset of
研究了一个随机学习自动机与未知随机环境的相互作用问题。最根本的问题是学习,通过互动,环境允许的最佳行动(即获得最佳奖励的行动)。M.A.L. Thathachar等人(1986,1989)通过对奖励概率的运行估计来学习最优行为,获得了一种极其高效的追捕算法,该算法是目前已知的发展最快的算法之一。在目前的工作中,作者研究了使追踪算法离散化所获得的改进。这是通过将选择动作的概率限制为有限的,因此是离散的子集来实现的
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引用次数: 8
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Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics
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