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2006 9th International Conference on Control, Automation, Robotics and Vision最新文献

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Personal Identification System based on Multiple Palmprint Features 基于多掌纹特征的个人身份识别系统
Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345257
A. K. Qin, P. N. Suganthan, C. H. Tay, H. Pa
This paper presents a palmprint recognition system with palmprint images collected by a high-resolution color scanner. The scanned RGB image of the palmprint is pre-processed and the region of interest (ROI) of the palm is determined by the finger gap locations. Three sets of features extracted from the ROI image by the 2D Gabor filter using the palmprint phase orientation code (PPOC) represent texture information of the palm in the form of a real component, an imaginary component and an orientation component, respectively. The recognition is performed by applying the enhanced linear discriminant analysis (EDLDA) coupled with the nearest neighbor classifier on these three feature sets, respectively, and the decisions are combined via the majority voting scheme to yield the ultimate recognition. Experiments on our collected palmprint image database show promising recognition rate of 99.6% with a low False Acceptance Rate (FAR) of 0.02%
本文介绍了一种利用高分辨率彩色扫描仪采集掌纹图像的掌纹识别系统。对扫描后的掌纹RGB图像进行预处理,根据手指间隙位置确定掌纹感兴趣区域(ROI)。利用掌纹相位方向码(PPOC)进行二维Gabor滤波,从ROI图像中提取三组特征,分别以实分量、虚分量和方向分量的形式表示掌纹纹理信息。通过对这三个特征集分别应用增强型线性判别分析(EDLDA)和最近邻分类器进行识别,并通过多数投票方案将决策组合以产生最终识别。在我们收集的掌纹图像数据库上进行的实验表明,该方法的识别率为99.6%,错误接受率(FAR)为0.02%
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引用次数: 7
Incremental Path Planning Using Partial Map Information for Mobile Robots 基于局部地图信息的移动机器人增量路径规划
Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345286
X. Lai, S. Ge, P. T. Ong, A. Mamun
This paper proposes a practical method for planning paths incrementally for mobile robots in unknown environments using the latest sensory information. A* algorithm was modified in this research for it to be able to handle an occupancy grid map with unknown information. Then the paper presented an algorithm that is able to robustly and incrementally searching for an optimal path based on the partial map simultaneously built by the robot. Waypoints was generated to further optimize the obtained path and were sequentially traced by the robot in a simple, reactive way. Extensive simulations and experiments were carried out to verify the proposed planning algorithm
本文提出了一种利用最新的感知信息对未知环境中的移动机器人进行增量路径规划的实用方法。本文对A*算法进行了改进,使其能够处理未知信息的占用网格图。在此基础上,提出了一种基于机器人同时生成的局部地图鲁棒增量搜索最优路径的算法。生成路径点,进一步优化得到的路径,并由机器人以简单、反应的方式进行顺序跟踪。进行了大量的仿真和实验来验证所提出的规划算法
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引用次数: 3
Stability Analysis of λ-model for Human Motor System 人体运动系统λ模型的稳定性分析
Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345275
Lan Li, Z. Kuanyi
Computer modeling and control of the human motor system may be helpful to the diagnosis and treatment of neuromuscular disorders. In this paper, the brief view of the equilibrium point hypothesis for human motor system modeling is given, and the λ-model derived from this hypothesis is studied. Then, the stability of the λ-model based on equilibrium and Jacobian matrix is investigated, and some mathematical and simulation results are presented. The results suggest that the λ-model is stable and has a unique equilibrium point under certain conditions
人体运动系统的计算机建模和控制可能有助于神经肌肉疾病的诊断和治疗。本文简要介绍了人体运动系统建模的平衡点假设,并对该假设导出的λ模型进行了研究。然后,研究了基于平衡和雅可比矩阵的λ模型的稳定性,并给出了一些数学和仿真结果。结果表明,在一定条件下,λ-模型是稳定的,具有唯一的平衡点
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引用次数: 0
Direct Kinematics and Analytical Solution to 3RRR Parallel Planar Mechanisms 3RRR并联平面机构的直接运动学及解析解
Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345064
D. Oetomo, H. C. Liaw, G. Alici, B. Shirinzadeh
This paper presents the direct kinematic solutions to 3DOF planar parallel mechanisms. Efforts to solve the direct kinematics of planar parallel mechanisms have concentrated on RPR mechanisms due to its inherent simplicity. It is established that the direct kinematic equations of a general 3DOF planar parallel mechanism can be reduced to a univariate polynomial of degree 8. This paper presents the derivation of this univariate polynomials for both 3RRR and 3RPR mechanisms, showing the similarities and differences between the two common configurations of 3DOF planar parallel mechanisms. This paper also presents the on the direct kinematic solution to a simplified case of the 3RRR planar parallel mechanisms, where it is possible to decouple the polynomial further into two quadratic equations, describing the position and orientation of the end-effector, respectively. This result will provide an efficient computation method for a very useful configuration of planar parallel manipulators
本文给出了三维平面并联机构的直接运动学解。由于RPR机构本身的简单性,求解平面并联机构的直接运动学的努力主要集中在RPR机构上。建立了一般三维平面并联机构的直接运动方程可以简化为8次的单变量多项式。本文给出了3RRR机构和3RPR机构的单变量多项式的推导,给出了两种常见平面并联机构构型的异同。本文还给出了3RRR平面并联机构的一种简化情况的直接运动学解,其中可以将多项式进一步解耦为两个二次方程,分别描述末端执行器的位置和姿态。该结果将为平面并联机器人的构型提供一种有效的计算方法
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引用次数: 23
Intelligent Structure Selection of Polynomial Nonlinear Systems using Evolutionary Programming 基于进化规划的多项式非线性系统智能结构选择
Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345205
Claudio Camasca, A. Swain, N. Patel
The present study proposes an alternate method of structure selection or which terms to include into a nonlinear autoregressive moving average with exogenous inputs (NARMAX) model, based on evolutionary programming (EP). The algorithm uses a strategy similar to elitism where the single best chromosome in a generation is retained and passed to the next. In addition to minimizing the mean square error (MSE), the method introduces an internal term penalty (ITP) function to reject spurious terms under the effects of significant noise. By following an adaptive mutation rate and restricting this to vary within 50%, faster convergence is achieved. To further improve the convergence, a pruning strategy is followed where any insignificant terms are removed from the model by assigning them with a time-to-live parameter. The performance of the proposed method is illustrated considering several examples of nonlinear systems and have been found to be satisfactory
本研究提出了一种基于进化规划(EP)的结构选择或将哪些项包含到具有外生输入的非线性自回归移动平均(NARMAX)模型中的替代方法。该算法使用了一种类似精英主义的策略,即保留一代中最好的染色体并传给下一代。除了最小化均方误差(MSE)外,该方法还引入了一个内部项惩罚(ITP)函数,以在显著噪声的影响下拒绝虚假项。通过遵循自适应突变率并将其限制在50%以内,可以实现更快的收敛。为了进一步提高收敛性,遵循修剪策略,其中通过分配生存时间参数从模型中删除任何无关紧要的项。结合几个非线性系统实例说明了该方法的性能,结果令人满意
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引用次数: 4
A Practical Chaotic Secure Communication Scheme Based on Chen's System 一种实用的基于Chen系统的混沌保密通信方案
Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345446
Y. Ji, Chengjin Zhang, C. Wen, Zhengguo Li
In this paper, a practical impulsive synchronization scheme is proposed for the synchronization of two Chen's chaotic systems with parametric uncertainty and mismatch. With this scheme, the error of the systems can converge to a given bound
针对具有参数不确定性和失配的两个Chen混沌系统,提出了一种实用的脉冲同步方案。该方案可使系统误差收敛到给定的界内
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引用次数: 0
Simultaneous Localization and Mapping with Stereo Vision 立体视觉的同步定位和映射
Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345269
Matthew N. Dailey, M. Parnichkun
In the simultaneous localization and mapping (SLAM) problem, a mobile robot must build a map of its environment while simultaneously determining its location within that map. We propose a new algorithm, for visual SLAM (VSLAM), in which the robot's only sensory information is video imagery. Our approach combines stereo vision with a popular sequential Monte Carlo (SMC) algorithm, the Rao-Blackwellised particle filter, to simultaneously explore multiple hypotheses about the robot's six degree-of-freedom trajectory through space and maintain a distinct stochastic map for each of those candidate trajectories. We demonstrate the algorithm's effectiveness in mapping a large outdoor virtual reality environment in the presence of odometry error
在同时定位和映射(SLAM)问题中,移动机器人必须建立其环境的地图,同时确定其在该地图中的位置。我们提出了一种新的视觉SLAM (VSLAM)算法,其中机器人的唯一感官信息是视频图像。我们的方法将立体视觉与流行的顺序蒙特卡罗(SMC)算法(rao - blackwell化粒子滤波)相结合,同时探索机器人在空间中的六个自由度轨迹的多个假设,并为每个候选轨迹保持一个独特的随机映射。我们证明了该算法在存在里程误差的大型户外虚拟现实环境中映射的有效性
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引用次数: 28
Robust MR Image Segmentation Using 3D Partitioned Active Shape Models 基于三维分割主动形状模型的鲁棒MR图像分割
Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345079
Zheen Zhao, E. Teoh
A 3D partitioned active shape model (PASM) is proposed in this paper to address the problems of 3D active shape models (ASM) brought by small training sets, which is usually the case in 3D applications. When numbers of training samples are limited, 3D ASMs tend to be restrictive, because the plausible area/allowable region spanned by relatively few eigenvectors cannot capture the full range of shape variability. 3D PASMs overcome this limitation by using a partitioned representation of ASM. Given a point distribution model, the mean mesh is partitioned into a group of small tiles. The statistical priors of tiles are estimated by applying principal component analysis to each tile, and the priors serve as constraints for corresponding tiles during deformations. To avoid the shape inconsistency introduced by the independent estimations between tiles, samples and deformed model points are projected as curves in one hyperspace, instead of point clouds in several hyperspaces. The deformed model points are then fitted into the allowable region of the model using a curve alignment scheme. The experiments on 3D human brain MRIs show that the 3D PASMs segment objects more accurately and are more robust to noise and low contrast in images than two other current active shape models. Furthermore, a study for the PASM's sensitivity to different initializations shows that PASMs perform stable when initialization positions change
针对三维应用中训练集小带来的三维活动形状模型问题,提出了一种三维分割活动形状模型(PASM)。当训练样本数量有限时,3D asm往往是限制性的,因为由相对较少的特征向量跨越的合理区域/允许区域不能捕获形状可变性的全部范围。3D ASM通过使用ASM的分区表示克服了这一限制。给定点分布模型,将平均网格划分为一组小块。利用主成分分析方法对每个瓦片进行统计先验估计,作为瓦片变形时的约束条件。为了避免贴图之间的独立估计带来的形状不一致,将样本和变形模型点投影为一个超空间中的曲线,而不是多个超空间中的点云。然后使用曲线对齐方案将变形的模型点拟合到模型的允许区域。三维人脑核磁共振实验表明,与现有的两种活动形状模型相比,该模型能更准确地分割目标,对图像中的噪声和低对比度具有更强的鲁棒性。此外,对不同初始化的灵敏度进行了研究,结果表明,当初始化位置发生变化时,系统表现稳定
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引用次数: 4
Bisection Refinement-Based Real-Time Adaptive Mesh Model For Deformation and Cutting of Soft Objects 基于分割细化的软物体变形与切割实时自适应网格模型
Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345063
Hiromi T. Tanaka, Y. Tsujino, Takahiro Kamada, H. Viet
The subjects described in this paper are a realtime adaptive modeling method for deformable objects and an adaptive cutting method for 3D surface meshes. In the literature so far, adaptive models with high resolution representations at regions of high deformation have not been investigated. In this paper we propose a new method for real-time modeling of soft objects, of which high resolutions dynamically adapt to the regions of high deformation. In order to reduce the computational cost in comparison with the previous methods we use the bisection refinement algorithm. The experimental results show the effectiveness of the proposed method. The cutting operation of 3D surface meshes plays an important role in surgery simulators. One of the important requirements for surgical simulators is the visual reality. We propose a new strategy for cutting on surface mesh: refinement and separate strategy consisting of the refinement followed by the separation of the refined mesh element. Since the advantage of the low computational cost, the bisection refinement method is utilized for the refinement process. The proposed strategy gives the faithful representation of the interaction path
本文研究的课题是可变形物体的实时自适应建模方法和三维曲面网格的自适应切割方法。在目前的文献中,还没有研究在高变形区域具有高分辨率表示的自适应模型。本文提出了一种高分辨率动态适应高变形区域的软物体实时建模新方法。与以往的方法相比,为了减少计算量,我们采用了等分细化算法。实验结果表明了该方法的有效性。三维曲面网格的切割操作在手术模拟器中起着重要的作用。对手术模拟器的一个重要要求是视觉真实。提出了一种曲面网格切割的新策略:细化和分离策略,即先细化后分离细化网格单元。由于计算成本低的优点,采用二分法进行细化。所提出的策略给出了交互路径的忠实表示
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引用次数: 5
Adaptive Controllers by Using Neural Network Based Identification for Short Sampling Period 基于神经网络辨识的短采样周期自适应控制器
Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345118
P. Pivoñka, V. Veleba, P. Osmera
The use of short sampling period in adaptive control has not been described properly when controlling the real process by adaptive controller. The new approach to analysis of on-line identification methods based on one-step-ahead prediction clears up their sensitivity to disturbances in control loop. On one hand faster disturbance rejection due to short sampling period can be an advantage but on the other hand it brings us some practical problems. Particularly, quantization error and finite numerical precision of industrial controller must be considered in the real process control. We concentrate our attention on dealing with adverse effects that work on real-time identification of process, especially quantization. It is shown; that a neural network applied to on-line identification process produces more stable solution in the rapid sampling domain
在用自适应控制器控制实际过程时,短采样周期在自适应控制中的应用还没有得到适当的描述。基于一步超前预测的在线辨识方法分析的新方法消除了其对控制回路干扰的敏感性。由于采样周期短,抗干扰速度快,这一方面是优点,但另一方面也给我们带来了一些实际问题。特别是在实际过程控制中,必须考虑工业控制器的量化误差和有限的数值精度。我们把注意力集中在处理过程实时识别的不利影响上,特别是量化。它显示;将神经网络应用于在线辨识过程中,在快速采样域产生更稳定的解
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引用次数: 3
期刊
2006 9th International Conference on Control, Automation, Robotics and Vision
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