Machine Graphics and Vision最新文献_第5页

Novel approach based on topological simplification algorithm optimized with Particle Swarm Optimization 基于粒子群优化的拓扑简化算法的新方法

Machine Graphics and Vision Pub Date : 2012-01-14 DOI: 10.22630/mgv.2014.23.1.7

Zukuan Wei, Zhao-gang Wang, Hong-Yeon Kim, Youngkyun Kim, Jae-Hong Kim

{"title":"Novel approach based on topological simplification algorithm optimized with Particle Swarm Optimization","authors":"Zukuan Wei, Zhao-gang Wang, Hong-Yeon Kim, Youngkyun Kim, Jae-Hong Kim","doi":"10.22630/mgv.2014.23.1.7","DOIUrl":"https://doi.org/10.22630/mgv.2014.23.1.7","url":null,"abstract":"The movement of people can be considered as the flow of liquid, so we can use the methods employed for the flow of liquid to understand the motion of a crowd. Based on this, we present a novel framework for abnormal behavior detection in crowded scenes. We extract a topological structure from the crowd with the topology simplification algorithm. However, a conventional topology simplification algorithm can not work well if we apply it to the crowd directly because there is too much noises produced by the random motion of the people in the original image. To overcome this, we make a step forward by optimizing this model using Particle Swarm Optimization (PSO) to perform the advection of particle population spread randomly over the image frames. Then we propose two new methods for analyzing the boundary point structure and extraction of a critical point from the particle motion field; both methods can be used to describe the global topological structure of the crowd motion. The advantage of our approach is that each kind of abnormal event can be described as a specific change in the topological structure, so we do not need construct a complex classifier, but can classify the crowd anomalies dynamically and directly. Moreover, the approach monitors the crowd motion macroscopically, making it insensitive to the motion of an individual, disregarding the global movement. The result of an experiment conducted on a common data set shows that our method is both precise and stable.","PeriodicalId":39750,"journal":{"name":"Machine Graphics and Vision","volume":"06 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85975328","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: 0

Technique to generate face and palm vein-based fuzzy vault for multi-biometric cryptosystem 多生物特征密码系统中基于面部和手掌静脉的模糊拱顶生成技术

Machine Graphics and Vision Pub Date : 2012-01-14 DOI: 10.22630/mgv.2014.23.1.6

N. Lalithamani, M. Sabrigiriraj

{"title":"Technique to generate face and palm vein-based fuzzy vault for multi-biometric cryptosystem","authors":"N. Lalithamani, M. Sabrigiriraj","doi":"10.22630/mgv.2014.23.1.6","DOIUrl":"https://doi.org/10.22630/mgv.2014.23.1.6","url":null,"abstract":"Template security of biometric systems is a vital issue and needs critical focus. The importance lies in the fact that unlike passwords, stolen biometric templates cannot be revoked. Hence, the biometric templates cannot be stored in plain format and needs strong protection against any forgery. In this paper, we present a technique to generate face and palm vein-based fuzzy vault for multi-biometric cryptosystem. Here, initially the input images are pre-processed using various processes to make images fit for further processing. In our proposed method, the features are extracted from the processed face and palm vein images by finding out unique common points. The chaff points are added to the already extracted points to obtain the combined feature vector. The secret key points which are generated based on the user key input (by using proposed method) are added to the combined feature vector to have the fuzzy vault. For decoding, the multi-modal biometric template from palm vein and face image is constructed and is combined with the stored fuzzy vault to generate the final key. Finally, the experimentation is conducted using the palm vein and face database available in the CASIA and JAFFE database. The evaluation metrics employed are FMR (False Match Ratio) and GMR (Genuine Match Ratio). From the metric values obtained for the proposed system, we can infer that the system has performed well.","PeriodicalId":39750,"journal":{"name":"Machine Graphics and Vision","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87905861","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

Bag of Words - Quality Issues of Near-Duplicate Image Retrieval 词袋-近重复图像检索的质量问题

Machine Graphics and Vision Pub Date : 2012-01-14 DOI: 10.22630/mgv.2014.23.1.5

M. Paradowski, Mariusz Durak, Bartosz Broda

引用次数: 2

EBMBDT: Effective Block Matching Based Denoising Technique using dual tree complex wavelet transform 基于对偶树复小波变换的有效块匹配去噪技术

Machine Graphics and Vision Pub Date : 2012-01-14 DOI: 10.22630/mgv.2014.23.3.3

M. Selvi

引用次数: 0

Robust method for the text line detection and splitting of overlapping text in the Latin manuscripts 拉丁手抄本文本行检测与重叠文本分割的鲁棒方法

Machine Graphics and Vision Pub Date : 2012-01-14 DOI: 10.22630/mgv.2014.23.3.2

J. Pach, P. Bilski

引用次数: 2

A Curvature-Tensor-Based Perceptual Quality Metric for 3D Triangular Meshes 基于曲率张量的三维三角形网格感知质量度量

Machine Graphics and Vision Pub Date : 2012-01-14 DOI: 10.22630/mgv.2014.23.1.4

Fakhri Torkhani, K. Wang, J. Chassery

{"title":"A Curvature-Tensor-Based Perceptual Quality Metric for 3D Triangular Meshes","authors":"Fakhri Torkhani, K. Wang, J. Chassery","doi":"10.22630/mgv.2014.23.1.4","DOIUrl":"https://doi.org/10.22630/mgv.2014.23.1.4","url":null,"abstract":"Perceptual quality assessment of 3D triangular meshes is crucial for a variety of applications. In this paper, we present a new objective metric for assessing the visual difference between a reference triangular mesh and its distorted version produced by lossy operations, such as noise addition, simplification, compression and watermarking. The proposed metric is based on the measurement of the distance between curvature tensors of the two meshes under comparison. Our algorithm uses not only tensor eigenvalues (i.e., curvature amplitudes) but also tensor eigenvectors (i.e., principal curvature directions) to derive a perceptually-oriented tensor distance. The proposed metric also accounts for the visual masking effect of the human visual system, through a roughness-based weighting of the local tensor distance. A final score that reflects the visual difference between two meshes is obtained via a Minkowski pooling of the weighted local tensor distances over the mesh surface. We validate the performance of our algorithm on four subjectively-rated visual mesh quality databases, and compare the proposed method with state-of-the-art objective metrics. Experimental results show that our approach achieves high correlation between objective scores and subjective assessments.","PeriodicalId":39750,"journal":{"name":"Machine Graphics and Vision","volume":"137 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78128076","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

A method of constructing phyllotaxically arranged modular models by partitioning the interior of a cylinder or a cone 划分法:通过划分圆柱体或圆体的内部构造按层序排列的模块模型的方法

Machine Graphics and Vision Pub Date : 2012-01-14 DOI: 10.22630/mgv.2014.23.1.2

C. Stepien

引用次数: 0

A Survey of Passive 3D Reconstruction Methods on the Basis of More than One Image 基于多幅图像的被动三维重建方法综述

Machine Graphics and Vision Pub Date : 2012-01-14 DOI: 10.22630/mgv.2014.23.3.5

M. Siudak, P. Rokita

引用次数: 13

Improved Illumination Correction that Preserves Medium Sized Objects 改进光照校正，保留中等大小的物体

Machine Graphics and Vision Pub Date : 2012-01-14 DOI: 10.22630/mgv.2014.23.1.1

A. Hast, Andrea Marchetti

引用次数: 6

Color transformation method that preserves the impression of texture in virtual makeover system 虚拟改造系统中保留纹理印象的颜色变换方法

Machine Graphics and Vision Pub Date : 2012-01-13 DOI: 10.22630/mgv.2013.22.1.3

Joanna Kaczmarczyk, Maciej Pankiewicz

引用次数: 0