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

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Proposal of recordable pointer: Pointed position measurement by projecting interference concentric circle pattern with a pointing device 可记录指针的建议:用指向装置投射干涉同心圆图案来测量点的位置
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.948
Y. Seko, Y. Yamaguchi, Yasuyuki Saguchi, Jun Miyazaki, H. Koshimizu
{"title":"Proposal of recordable pointer: Pointed position measurement by projecting interference concentric circle pattern with a pointing device","authors":"Y. Seko, Y. Yamaguchi, Yasuyuki Saguchi, Jun Miyazaki, H. Koshimizu","doi":"10.1109/ICPR.2006.948","DOIUrl":"https://doi.org/10.1109/ICPR.2006.948","url":null,"abstract":"We propose a new pointing device that can measure pointed positions by processing the interference concentric circles projected with a pointing device. The pointing device has a donut-shaped lens that is designed so as both to make the laser source be two hypothetical sources for forming optical interference and to project the concentric circle pattern widely. Two image sensors set on the projected side capture small parts of the concentric circles, and its center coordinate that is a pointed position of the pointing device is calculated from two normal lines to the arcs of the circles. In practice, we succeeded in measuring the pointed position accurately by real-time processing of the widely projected concentric circle patterns. We demonstrated mouse cursor operation on a large screen with the pointing device and also used it as real-object-based user interface to show the related information of real objects by pointing them","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117149383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
3D Human Body Measurement by Multiple Range Images 多距离图像的三维人体测量
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.26
K. Yamauchi, Yukio Sato
{"title":"3D Human Body Measurement by Multiple Range Images","authors":"K. Yamauchi, Yukio Sato","doi":"10.1109/ICPR.2006.26","DOIUrl":"https://doi.org/10.1109/ICPR.2006.26","url":null,"abstract":"A compact and high-speed 3D human body measurement system is proposed. Whole human body data which we can take from systems that have been developed with a few viewpoints is not successfully acquired due to occlusion. It is proposed a method that can obtain successful data by allocating multiple rangefinders correctly. Four compact rangefinders are installed in a pole. Those four pole units with 16 rangefinders are assigned around a human. Multiple viewpoint range images allow the 3D shape reconstruction for a human body. The measurement time is 2 seconds and the average error is found to be 1.88 mm. In this paper, system configuration, calibration and experimental results are described","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117244468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Automatic Lipreading with Limited Training Data 有限训练数据的自动唇读
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.301
Shi-Lin Wang, W. Lau, S. Leung
{"title":"Automatic Lipreading with Limited Training Data","authors":"Shi-Lin Wang, W. Lau, S. Leung","doi":"10.1109/ICPR.2006.301","DOIUrl":"https://doi.org/10.1109/ICPR.2006.301","url":null,"abstract":"Speech recognition solely based on visual information such as the lip shape and its movement is referred to as lipreading. This paper presents an automatic lipreading technique for speaker dependent (SD) and speaker independent (SI) speech recognition tasks. Since the visual features are derived according to the frame rate of the video sequence, spline representation is then employed to translate the discrete-time sampled visual features into continuous domain. The spline coefficients in the same word class are constrained to have similar expression and can be estimated from the training data by the EM algorithm. In addition, an adaptive multi-model approach is proposed to overcome the variation caused by different speaking style in speaker-independent recognition task. The experiments are carried out to recognize the ten English digits and an accuracy of 96% for speaker dependent recognition and 88% for speaker independent recognition have been achieved, which shows the superiority of our approach compared with other classifiers investigated","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"597 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120861149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 20
Modification of the AdaBoost-based Detector for Partially Occluded Faces 基于adaboost的部分遮挡人脸检测器的改进
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.807
Jie Chen, S. Shan, Shengye Yan, Xilin Chen, Wen Gao
{"title":"Modification of the AdaBoost-based Detector for Partially Occluded Faces","authors":"Jie Chen, S. Shan, Shengye Yan, Xilin Chen, Wen Gao","doi":"10.1109/ICPR.2006.807","DOIUrl":"https://doi.org/10.1109/ICPR.2006.807","url":null,"abstract":"While face detection seems a solved problem under general conditions, most state-of-the-art systems degrade rapidly when faces are partially occluded by other objects. This paper presents a solution to detect partially occluded faces by reasonably modifying the AdaBoost-based face detector. Our basic idea is that the weak classifiers in the AdaBoost-based face detector, each corresponding to a Haar-like feature, are inherently a patch-based model. Therefore, one can divide the whole face region into multiple patches, and map those weak classifiers to the patches. The weak classifiers belonging to each patch are re-formed to be a new classifier to determine if it is a valid face patch - without occlusion. Finally, we combine all of the valid face patches by assigning the patches with different weights to make the final decision whether the input subwindow is a face. The experimental results show that the proposed method is promising for the detection of occluded faces","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121096771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 24
Improving Dynamic Learning Vector Quantization 改进动态学习向量量化
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.699
C. Stefano, C. D'Elia, A. Marcelli, A. S. D. Freca
{"title":"Improving Dynamic Learning Vector Quantization","authors":"C. Stefano, C. D'Elia, A. Marcelli, A. S. D. Freca","doi":"10.1109/ICPR.2006.699","DOIUrl":"https://doi.org/10.1109/ICPR.2006.699","url":null,"abstract":"We introduce some improvements to the dynamic learning vector quantization algorithm proposed by us for tackling the two major problems of those networks, namely neuron over-splitting and their distribution in the feature space. We suggest to explicitly estimate the potential improvement on the recognition rate achievable by splitting neurons in those regions of the feature space in which two or more classes overlap. We also suggest to compute the neuron splitting frequency, and to combine these information for selecting the most promising neuron to split. Experimental results on both synthetic and real data extracted from UCI Machine Learning Repository show substantial improvements of the proposed algorithm with respect to the state of the art","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127106580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Stroke Segmentation of Chinese Characters Using Markov Random Fields 基于马尔科夫随机场的汉字笔划分割
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.1083
Jia Zeng, Zhi-Qiang Liu
{"title":"Stroke Segmentation of Chinese Characters Using Markov Random Fields","authors":"Jia Zeng, Zhi-Qiang Liu","doi":"10.1109/ICPR.2006.1083","DOIUrl":"https://doi.org/10.1109/ICPR.2006.1083","url":null,"abstract":"This paper presents Markov random fields (MRFs) to segment strokes of Chinese characters. The distortions caused by the thinning process make the thinning-based stroke segmentation difficult to extract continuous strokes and handle the ambiguous intersection regions. The MRFs reflect the local statistical dependencies at neighboring sites of the stroke skeleton, where the likelihood clique potential describes the statistical variations of directional observations at each site, and the smoothness prior clique potential describes the interactions among observations at neighboring sites. Based on the cyclic directional observations by Gabor filters, we formulate the stroke segmentation as an optimal labeling problem by the maximum a posteriori (MAP) criterion. The results of stroke segmentation on the ETL-9B character database are encouraging","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127468097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
Symbol Recognition of Printed Piano Scores with Touching Symbols 触摸符号印刷钢琴乐谱的符号识别
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.1099
Fubito Toyama, K. Shoji, J. Miyamichi
{"title":"Symbol Recognition of Printed Piano Scores with Touching Symbols","authors":"Fubito Toyama, K. Shoji, J. Miyamichi","doi":"10.1109/ICPR.2006.1099","DOIUrl":"https://doi.org/10.1109/ICPR.2006.1099","url":null,"abstract":"To build a music database efficiently, an automatic score recognition system is a critical component. Many previous methods are applicable only to some simple music scores. In case of complex music scores it becomes difficult to detect symbols correctly because of noise and connection between symbols included in the scores. In this paper, we propose a score recognition method which is applicable to the complex music scores. Symbol candidates are detected by template matching. From these candidates correct symbols are selected by considering their relative positions and mutual connections. Under the presence of noise and connected symbols, the proposed method outperformed \"Score Maker\" which is an optical music score recognition software","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127535540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 25
In this paper, an approach for deaf-people 本文提出了一种针对聋人的方法
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.706
Zhi-Wei Chen, Yu-Cheng Lin, C. Chiang
{"title":"In this paper, an approach for deaf-people","authors":"Zhi-Wei Chen, Yu-Cheng Lin, C. Chiang","doi":"10.1109/ICPR.2006.706","DOIUrl":"https://doi.org/10.1109/ICPR.2006.706","url":null,"abstract":"This paper presents the design and implementation of a fingertip writing interface which recognizes the moving trajectory of the user’s fingertip into alphabets and numerals. The processes are divided into tracking and recognition. For the fingertip tracking process, the interface employees techniques including background subtraction, skincolor modeling, finger extraction, fingertip positioning and Kalman filter prediction. To recognize the fingertip trajectories, four types of features are defined for recognition with Hidden Markov Models. According to our performance evaluation, the writing interface achieves an accuracy rate of 98% for fingertip tracking and reaches a recognition accuracy as high as 93% for alphabets and numerals, demonstrating its potential to serve as a feasible human-machine interface of natural modality.","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124875010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Reflectance from Surfaces with Layers of Variable Roughness 具有可变粗糙度层的表面的反射率
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.987
H. Ragheb, E. Hancock
{"title":"Reflectance from Surfaces with Layers of Variable Roughness","authors":"H. Ragheb, E. Hancock","doi":"10.1109/ICPR.2006.987","DOIUrl":"https://doi.org/10.1109/ICPR.2006.987","url":null,"abstract":"A new model for the scattering of light from layered surfaces with boundaries of variable roughness is introduced. The model contains a surface scattering component together with a subsurface scattering component. The former component corresponds to the roughness on the upper surface boundary and is modeled using the modified Beckmann model. The latter component accounts for both refraction due to Fresnel transmission through the layer and rough scattering at the lower layer boundary. By allowing independent roughness parameters for each surface boundary we can achieve excellent fits of the model to the measured BRDF data. We experiment with BRDF data from skin surface samples (human volunteers) and show that the new model outperforms alternative variants of the Beckmann model and the Lafortune et al. reflectance model","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123421845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Asymmetric kernel method and its application to Fisher’s discriminant 非对称核方法及其在fisher判别中的应用
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.278
Naoya Koide, Yukihiko Yamashita
{"title":"Asymmetric kernel method and its application to Fisher’s discriminant","authors":"Naoya Koide, Yukihiko Yamashita","doi":"10.1109/ICPR.2006.278","DOIUrl":"https://doi.org/10.1109/ICPR.2006.278","url":null,"abstract":"In this paper, we propose the asymmetric kernel method. Furthermore, we apply it to Fisher's discriminant and provide an kernel Fisher's discriminant with variable kernel parameters. We also provide the experimental result of the existing and the new kernel Fisher's discriminants by using several standard datasets and show the advantage of our method","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123431119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
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