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

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Surface Reconstruction from Stereovision Data Using a 3-D MRF of Discrete Object Models 利用离散目标模型的三维磁共振成像从立体视觉数据中重建表面
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.1097
H. Takizawa, Shinji Yamamoto
{"title":"Surface Reconstruction from Stereovision Data Using a 3-D MRF of Discrete Object Models","authors":"H. Takizawa, Shinji Yamamoto","doi":"10.1109/ICPR.2006.1097","DOIUrl":"https://doi.org/10.1109/ICPR.2006.1097","url":null,"abstract":"In the present paper, we propose a method for reconstructing the surfaces of objects from stereovision data. Both the fitness of stereo data to surfaces and interrelation between the surfaces are defined in the framework of a three-dimensional (3D) Markov random field (MRF) model. The surface reconstruction is accomplished by searching for the most likely state of the MRF model. An experimental result is shown for a real scene","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"22 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":"115634494","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
Multi-Objective Evolutionary Clustering using Variable-Length Real Jumping Genes Genetic Algorithm 基于变长真实跳跃基因遗传算法的多目标进化聚类
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.827
Kazi Shah Nawaz Ripon, Chi-Ho Tsang, S. Kwong, M. Ip
{"title":"Multi-Objective Evolutionary Clustering using Variable-Length Real Jumping Genes Genetic Algorithm","authors":"Kazi Shah Nawaz Ripon, Chi-Ho Tsang, S. Kwong, M. Ip","doi":"10.1109/ICPR.2006.827","DOIUrl":"https://doi.org/10.1109/ICPR.2006.827","url":null,"abstract":"In this paper, we present a novel multi-objective evolutionary clustering approach using variable-length real jumping genes genetic algorithms (VRJGGA). The proposed algorithm that extends jumping genes genetic algorithm (JGGA) (Man et al., 2004) evolves near-optimal clustering solutions using multiple clustering criteria, without a-priori knowledge of the actual number of clusters. Experimental results based on several artificial and real-world data show that VRJGGA can obtain non-dominated and near-optimal clustering solutions in terms of different cluster quality measures and classification performance","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":"115641818","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: 41
Face Recognition From Video using Active Appearance Model Segmentation 基于主动外观模型分割的视频人脸识别
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.526
N. Faggian, A. Paplinski, Tat-Jun Chin
{"title":"Face Recognition From Video using Active Appearance Model Segmentation","authors":"N. Faggian, A. Paplinski, Tat-Jun Chin","doi":"10.1109/ICPR.2006.526","DOIUrl":"https://doi.org/10.1109/ICPR.2006.526","url":null,"abstract":"Face recognition from video can be improved if good face segmentation of the subject under test is achieved. Many video based face recognition rely on simple background modeling and coarse alignment strategies for segmentation. This work presents a face recognition from video framework based on using active appearance models (AAM) to achieve accurate face segmentation and consistent shape free representation across a video sequence. The segmentation provided by the AAM can be effectively normalized (morphed) to a mean shape. The resulting sub-image can then be delivered to conventional face recognition from video algorithms for robust classification. We present preliminary results on a dataset of 17 individuals and outline the problems encountered in this approach","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"199 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":"115693088","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: 19
Video Synchronization Based on Co-occurrence of Appearance Changes in Video Sequences 基于视频序列中外观变化共现的视频同步
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.1174
Manabu Ushizaki, Takayuki Okatani, K. Deguchi
{"title":"Video Synchronization Based on Co-occurrence of Appearance Changes in Video Sequences","authors":"Manabu Ushizaki, Takayuki Okatani, K. Deguchi","doi":"10.1109/ICPR.2006.1174","DOIUrl":"https://doi.org/10.1109/ICPR.2006.1174","url":null,"abstract":"This paper presents a method for synchronizing multiple cameras from only the images captured by the cameras, assuming that they are not connected to an external clock signal source. It is assumed that The cameras are stationary and take the images of the same scene from various viewpoints, in which there are moving objects such as human in motion. The method uses the appearance changes in an image sequence as a temporal feature and matches two or more sequences by evaluating the correlation among their temporal features. We show through several experiments that the method shows good performance of synchronization in spite of its simplicity. We also present a method for synchronization in sub-frame accuracy and also for adaptively selecting regions suitable for deriving the temporal features. The latter resolves the difficulty with the case where some objects appear in some of the cameras and do not in the rest, which could deteriorate accuracy of the synchronization","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"89 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":"124394262","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: 39
Analysis of Overlapping Faces for Constructing Paper-made Objects from Sketches 从草图构造纸制品的重叠面分析
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.269
H. Shimanuki, Jien Kato, Toyohide Watanabe
{"title":"Analysis of Overlapping Faces for Constructing Paper-made Objects from Sketches","authors":"H. Shimanuki, Jien Kato, Toyohide Watanabe","doi":"10.1109/ICPR.2006.269","DOIUrl":"https://doi.org/10.1109/ICPR.2006.269","url":null,"abstract":"This paper describes an approach to constructing a 3D paper-made object from hand-written sketches. This approach consists of two phases. One is the phase that constitutes a crease pattern based on a sketch. Another is the phase that constructs a virtual origami model from the obtained crease pattern. The crease pattern is a set of line segments in an unfolded sheet of paper and often designed by origami design methods. When an origami model is folded from a crease pattern, faces in the crease pattern may be transformed into the same plane and some inconsistent objects may be represented. In order to construct feasible (fold-able) objects, we need to dispose the faces on the same plane consistently. Therefore, in this paper, a method for analyzing overlap order of faces based on simulated annealing is proposed. Furthermore, we show some examples of 3D objects constructed by our method. The proposed method is useful for packaging and architectural modeling","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"22 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":"124421630","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: 2
Multi-lingual Phoneme Recognition and Language Identification Using Phonotactic Information 多语音位识别与语音信息识别
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.823
Liang Wang, E. Ambikairajah, E. Choi
{"title":"Multi-lingual Phoneme Recognition and Language Identification Using Phonotactic Information","authors":"Liang Wang, E. Ambikairajah, E. Choi","doi":"10.1109/ICPR.2006.823","DOIUrl":"https://doi.org/10.1109/ICPR.2006.823","url":null,"abstract":"Previous research indicates that automatic language identification systems based on phonotactic information produce the best results compared with other systems based on acoustic or prosodic information. This paper investigates two different approaches that use phonotactic information: parallel phoneme recognition followed by language modeling (PPRLM) and multi-lingual PRLM. In the PPRLM approach, we have modified the system by using four different language models with different discounting methods, including the linear, absolute, good-turning and Witten-Bell. Our results show that the modified PPRLM system with the Witten-Bell discounting outperforms other systems and achieves 75.5% language identification accuracy for the OGI-TS speech corpus","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"15 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":"116714670","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: 13
Iris Recognition Algorithm Using Modified Log-Gabor Filters 基于改进Log-Gabor滤波器的虹膜识别算法
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.726
Peng Yao, Jun Yu Li, Xueyi Ye, Zhenquan Zhuang, Bin Li
{"title":"Iris Recognition Algorithm Using Modified Log-Gabor Filters","authors":"Peng Yao, Jun Yu Li, Xueyi Ye, Zhenquan Zhuang, Bin Li","doi":"10.1109/ICPR.2006.726","DOIUrl":"https://doi.org/10.1109/ICPR.2006.726","url":null,"abstract":"In this paper, we presented an iris recognition algorithm based on modified Log-Gabor filters. The algorithm is similar as the method proposed by Daugman in general procedure while modified Log-Gabor filters are adopted to extract the iris phase information instead of complex Gabor filters used in Daugman's method. The advantage of Log-Gabor filters over complex Gabor filters is the former are strictly bandpass filters and the latter are not. The property of strictly bandpass makes the Log-Gabor filters more suitable to extract the iris phase features regardless of the background brightness. The comparison experiments between complex Gabor filters based methods and the proposed method are also presented in this paper","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"105 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":"116755417","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: 125
Object Localization Using Input/Output Recursive Neural Networks 使用输入/输出递归神经网络进行对象定位
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.880
M. Bianchini, Marco Maggini, L. Sarti
{"title":"Object Localization Using Input/Output Recursive Neural Networks","authors":"M. Bianchini, Marco Maggini, L. Sarti","doi":"10.1109/ICPR.2006.880","DOIUrl":"https://doi.org/10.1109/ICPR.2006.880","url":null,"abstract":"Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the localization problem based on recursive neural networks (RNNs), In particular, a recursive learning paradigm is proposed to process directed acyclic graphs with labeled edges, and to realize mappings between graphs which are isomorph, i.e. that share the same topology of the links. The RNN model, that assumes a graph-based representation of images, uses a state transition function that depends on the edge labels and is independent from both the number and the order of the children of each node. Moreover, the presence of targets attached to the internal nodes guarantees a fast learning, particularly sensitive to the local features of the graph. Some preliminary experiments, carried out on artificial images created using the COIL collection, are reported, showing very promising results","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"191 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":"116781124","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
Extraction of Consistent Subsets of Descriptors using Choquet Integral 用Choquet积分提取描述子的一致子集
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.521
Jan Rendek, Laurent Wendling
{"title":"Extraction of Consistent Subsets of Descriptors using Choquet Integral","authors":"Jan Rendek, Laurent Wendling","doi":"10.1109/ICPR.2006.521","DOIUrl":"https://doi.org/10.1109/ICPR.2006.521","url":null,"abstract":"This paper presents a novel approach to automatically extract a subset of shape descriptors dedicated to an application under consideration. Basic descriptors having low time processing and allowing to keep nice geometric properties were implemented. Then a model based on Choquet integral and Shapley values, are proposed to select suitable descriptors. Experimental studies using real databases attest of the robustness of our approach","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"9 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":"116919400","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: 5
Fingerprint Matching Method Using Minutiae Clustering and Warping 基于细节聚类和扭曲的指纹匹配方法
18th International Conference on Pattern Recognition (ICPR'06) Pub Date : 2006-08-20 DOI: 10.1109/ICPR.2006.570
Dongjin Kwon, I. Yun, Duck Hoon Kim, Sang Uk Lee
{"title":"Fingerprint Matching Method Using Minutiae Clustering and Warping","authors":"Dongjin Kwon, I. Yun, Duck Hoon Kim, Sang Uk Lee","doi":"10.1109/ICPR.2006.570","DOIUrl":"https://doi.org/10.1109/ICPR.2006.570","url":null,"abstract":"Solving non-linear distortion problems in fingerprint matching is important and still remains as a challenging topic. We have developed a new fingerprint matching method to deal with non-linear distortion problems efficiently by clustering locally matched minutiae and warping the fingerprint surface using minutiae clusters. Specifically, local invariant structures encoding the neighborhood information of each minutia are utilized in clustering the matched minutiae and then the fingerprint surface is warped to describe the deformation pattern properly. Finally, to make an additional increase in performance, the overlapped region of two fingerprints is considered in the score computation stage. Experimental results show that the proposed algorithm is performed best compared with other ones","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"49 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":"116945589","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: 29
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