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18th International Conference on Pattern Recognition (ICPR'06)最新文献

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Segmentation of Human Body Parts Using Deformable Triangulation 基于可变形三角剖分的人体部位分割
Pub Date : 2010-05-01 DOI: 10.1109/TSMCA.2010.2040272
J. Hsieh, Chi-Hung Chuang, Sin-Yu Chen, Chih-Chiang Chen, Kuo-Chin Fan
This paper presents a new segmentation algorithm to segment a body posture into different body parts using the technique of triangulation. For well analyzing each posture, we first propose a triangulation-based method to triangulate it to different triangle meshes. Then, we use a depth-first search scheme to find a spanning tree as its skeleton feature from the set of triangulation meshes. The triangulation-based scheme to extract important skeleton features has more robustness and effectiveness than other silhouette-based approaches. Then, different body parts can be roughly extracted by removing all the branching points from the spanning tree. A model-driven technique is then proposed for more accurately segmenting a human body into semantic parts. This technique uses the concept of Gaussian mixture model (GMM) to model different visual properties of different body parts. Then, a suitable segmentation scheme can be driven by classifying these models using their skeletons. Experimental results have proved that the proposed method is robust, accurate, and powerful in body part segmentation
本文提出了一种利用三角剖分技术将人体姿态分割成不同部位的分割算法。为了更好地分析每个姿态,我们首先提出了一种基于三角剖分的方法,将其三角剖分到不同的三角网格。然后,我们使用深度优先搜索方案从三角网格集中找到生成树作为其骨架特征。基于三角剖分的重要骨架特征提取方法比其他基于轮廓的方法具有更强的鲁棒性和有效性。然后,通过去除生成树上的所有分支点,可以粗略地提取出不同的身体部位。然后提出了一种模型驱动技术,用于更准确地将人体分割成语义部分。该技术使用高斯混合模型(GMM)的概念来模拟不同身体部位的不同视觉特性。然后,利用这些模型的骨架对其进行分类,从而驱动合适的分割方案。实验结果表明,该方法具有较好的鲁棒性和准确性
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引用次数: 15
Noise Variance Adaptive SEA for Motion Estimation: A Two-Stage Schema 运动估计的噪声方差自适应SEA:一种两阶段模式
Pub Date : 2006-09-18 DOI: 10.1109/ICPR.2006.859
Weigang Chen
In a practical video encoder, a video sequence obtained from a CCD camera inevitably conveys noise, which degrades not only image quality but also coding efficiency. Based on the statistic analysis of noise signal, a noise variance adaptive two-stage successive elimination algorithm (NVA-SEA) for block motion estimation is presented. Simulation results demonstrate that the proposed algorithm can get close performance to the full search, while the computation time has been significantly reduced
在实际的视频编码器中,从CCD摄像机获得的视频序列不可避免地会产生噪声,这不仅会降低图像质量,而且会降低编码效率。在对噪声信号进行统计分析的基础上,提出了一种用于块运动估计的噪声方差自适应两阶段逐次消除算法。仿真结果表明,该算法可以获得接近全搜索的性能,同时显著减少了计算时间
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引用次数: 0
A Hybrid Recognition Scheme Based on Partially Labeled SOM and MLP 一种基于部分标记SOM和MLP的混合识别方案
Pub Date : 2006-09-18 DOI: 10.1109/ICPR.2006.85
Shujing Lu, Chunyun Xiao, Yue Lu
We propose a hybrid system for Bangla handwritten numeral recognition based on partially labeled two-layer SOM and MLP classifiers. Partially labeled mechanism is introduced to the Kohonen's SOM for reducing recognition error rate, and two-layer structure is applied for improving the performance of the SOM classifier. The directional and density features are utilized in our system, and the partially labeled SOM is applied first. In the case that the character cannot be recognized by the partially labeled SOM, it will be feed to a multi-layer perceptron classifier for further processing. The experiments on the Bangla handwritten numeral samples captured from real envelopes have found that the hybrid system achieves 96.7% correct recognition rate
本文提出了一种基于部分标注双层SOM和MLP分类器的孟加拉语手写体数字识别混合系统。在Kohonen的SOM中引入部分标注机制来降低识别错误率,并采用双层结构来提高SOM分类器的性能。我们的系统利用了方向和密度特征,并首先应用了部分标记的SOM。如果部分标记的SOM不能识别字符,则将其馈送到多层感知器分类器进行进一步处理。对从真实信封中采集的孟加拉语手写体数字样本进行实验,发现该混合系统的正确率达到了96.7%
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引用次数: 3
A Captcha Mechanism By Exchange Image Blocks 通过交换图像块的验证码机制
Pub Date : 2006-09-18 DOI: 10.1109/ICPR.2006.40
W. Liao
The need to tell human and machines apart has surged due to abuse of automated `bots'. However, several textual-image-based CAPTCHAs have been defeated recently, calling for the development of new anti-automation schemes. In this paper, we propose a simple yet effective visual CAPTCHA test by exchanging the content of non-overlapping regions in an image. We give in-depth analysis regarding the choice of parameter and image database during the test generation phase. We also contemplate possible ways, including: 1) random guess, 2) collect and match, and 3) image segmentation, to defeat the proposed test and provide counter-measures when necessary. Preliminary experimental results have validated the efficacy of the proposed CAPTCHA, although we expect that a large-scale experiment to collect and analyze user responses contribute to optimal parameter settings
由于滥用自动化“机器人”,区分人和机器的需求激增。然而,最近几个基于文本图像的验证码已经失败,这就要求开发新的反自动化方案。在本文中,我们通过交换图像中非重叠区域的内容,提出了一种简单而有效的视觉CAPTCHA测试。在测试生成阶段,对参数和图像数据库的选择进行了深入的分析。我们还考虑了可能的方法,包括:1)随机猜测,2)收集和匹配,以及3)图像分割,以击败所提出的测试并在必要时提供对策。初步的实验结果已经验证了所提出的CAPTCHA的有效性,尽管我们希望通过大规模的实验来收集和分析用户的反应,从而有助于优化参数设置
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引用次数: 17
Morphological recognition of the spatial patterns of olive trees 橄榄树空间格局的形态识别
Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.811
P. Pina, T. Barata, L. Bandeira
A pair of algorithms to segment olive groves and recognize its individual trees in high spatial resolution remotely sensed images is presented. The developed algorithms are applied with success by exploiting the typical spatial patterns presented by this cover and are mainly based on mathematical morphology operators
提出了一种高空间分辨率遥感图像中橄榄林分割和树体识别的算法。所开发的算法主要基于数学形态学算子,利用了该封面所呈现的典型空间模式,并获得了成功的应用
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引用次数: 2
A Novel Volumetric Shape from Silhouette Algorithm Based on a Centripetal Pentahedron Model 一种新的基于向心五面体模型的廓形体积几何算法
Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.146
Xin Liu, H. Yao, Guilin Yao, Wen Gao
In this paper we present a novel volumetric shape from silhouette algorithm based on a centripetal pentahedron model. The algorithm first partitions the space with a set of infinite triangular pyramids derived from a geodesic sphere. Then the pyramids are cut by silhouettes into a set of pentahedrons, which together constitute the centripetal pentahedron model of the visual hull. This process is accelerated by pre-computed polar silhouette graphs (PSGs) and reduced PSGs. Finally a mesh surface model is extracted by marching pentahedrons. Our algorithm has the advantages of robustness, speediness and preciseness
本文提出了一种新的基于向心五面体模型的体积轮廓算法。该算法首先用一组由测地线球导出的无限三角形金字塔来划分空间。然后金字塔被剪影切割成一组五面体,它们共同构成了视觉船体的向心五面体模型。这一过程可以通过预先计算的极廓图(psg)和减少的psg来加速。最后,通过推进五面体提取网格表面模型。该算法具有鲁棒性、快速性和准确性等优点
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引用次数: 6
A Moving Object Tracked by A Mobile Robot with Real-Time Obstacles Avoidance Capacity 具有实时避障能力的移动机器人跟踪运动物体
Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.106
Chung-Hao Chen, Chang Cheng, D. Page, A. Koschan, M. Abidi
This paper describes a robotic application that tracks a moving object by utilizing a mobile robot with multiple sensors. The robotic platform uses a visual camera to sense the movement of the desired object and a range sensor to help the robot detect and then avoid obstacles in real time while continuing to track and follow the desired object. In terms of real-time obstacle avoidance capacity, this paper also presents a modified potential field algorithm called dynamic goal potential field algorithm (DGPF) for this robotic application specifically. Experimental results show that the robotic and intelligent system can fulfill the requirements of tracking an object and avoiding obstacles simultaneously when the object is moving
本文描述了一种利用具有多个传感器的移动机器人跟踪运动物体的机器人应用。机器人平台使用视觉摄像头来感知所需物体的运动,并使用距离传感器来帮助机器人实时检测并避开障碍物,同时继续跟踪和跟随所需物体。在实时避障能力方面,本文还针对该机器人应用提出了一种改进的势场算法,称为动态目标势场算法(dynamic goal势场algorithm, DGPF)。实验结果表明,该机器人与智能系统能够同时满足物体运动时的跟踪和避障要求
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引用次数: 27
A Coupon Classification Method Based on Adaptive Image Vector Matching 基于自适应图像向量匹配的优惠券分类方法
Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.58
T. Nagasaki, K. Marukawa, T. Kagehiro, H. Sako
This paper describes a coupon classification system based on image vector matching. This method features following two points. (1) Extract a feature vector from a gray-scale image using a feature map which is derived from training coupon images. (2) Classify a coupon image by adaptive mask distance to cope with the recognition difficulty such as partial cutting of coupon and putting stamp on it. We have implemented this method and experimented with collected samples. It achieved 100% of recognition rates, processing speed 11.76msec/sheet to 969 images for 42 kinds of coupon samples
介绍了一种基于图像向量匹配的优惠券分类系统。该方法具有以下两点特点。(1)利用训练息票图像得到的特征映射,从灰度图像中提取特征向量。(2)利用自适应蒙版距离对优惠券图像进行分类,以解决优惠券被部分切割、贴章等识别困难。我们已经实现了这种方法,并对收集的样品进行了实验。42种券样969张,识别率100%,处理速度11.76msec/张
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引用次数: 4
Local Discriminant Analysis 局部判别分析
Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.769
M. Loog, D. Ridder
The main objective of the work presented here is to introduce a supervised, nonlinear dimensionality reduction technique which performs well-known linear discriminant analysis in a local way and which is able to provide a powerful mapping with less computational effort than other nonlinear reduction methods. Additionally, because of the close connection of the new approach to Fisher's LDA, it is more clear that it acts discriminatively, which is not immediately apparent from previous formulations. The method makes use of the optimal scoring framework advocated by Hastie et al. and it is coined local discriminant analysis (lDA)
这里提出的工作的主要目的是引入一种监督的非线性降维技术,该技术以局部方式执行众所周知的线性判别分析,并且能够以比其他非线性降维方法更少的计算量提供强大的映射。此外,由于新方法与费雪LDA的密切联系,更清楚的是,它的作用是有区别的,这从以前的公式中并不立即明显。该方法利用了Hastie等人提出的最优评分框架,并将其命名为局部判别分析(lDA)。
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引用次数: 10
Early feature stream integration versus decision level combination in a multiple classifier system for text line recognition 文本行识别中多分类器系统的早期特征流集成与决策级组合
Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.466
Roman Bertolami, H. Bunke
This paper compares two different methods to combine feature streams to improve the performance of offline handwritten text line recognition systems. In both methods a pixel-based and a geometric feature stream are combined. The first method integrates the feature streams at an early stage whereas in the second method a combination step at the decision level is applied. In the experiments, the early integration approach outperforms the decision level combination as well as recognisers built from the individual feature streams
本文比较了两种不同的结合特征流的方法来提高离线手写文本行识别系统的性能。这两种方法都结合了基于像素的特征流和几何特征流。第一种方法在早期阶段集成特征流,而第二种方法在决策级应用组合步骤。在实验中,早期集成方法优于决策级组合以及从单个特征流构建的识别器
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引用次数: 13
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18th International Conference on Pattern Recognition (ICPR'06)
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