2010 IEEE International Conference on Progress in Informatics and Computing最新文献_第10页

A novel pointing algorithm for vehicle satellites' antenna 一种新的车载卫星天线指向算法

2010 IEEE International Conference on Progress in Informatics and Computing Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687986

Zhengming Li, Xiaogang Yang, Fei Tan

引用次数: 2

Artificial life, the second law of thermodynamics, and Kolmogorov Complexity 人工生命，热力学第二定律，还有柯尔莫哥洛夫复杂性

2010 IEEE International Conference on Progress in Informatics and Computing Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687924

J. Woodward, Amin Farjudian

引用次数: 0

Face detection in complex background based on skin color features and improved AdaBoost algorithms 基于肤色特征和改进AdaBoost算法的复杂背景下人脸检测

2010 IEEE International Conference on Progress in Informatics and Computing Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687939

Zhengming Li, Li Xue, Fei Tan

{"title":"Face detection in complex background based on skin color features and improved AdaBoost algorithms","authors":"Zhengming Li, Li Xue, Fei Tan","doi":"10.1109/PIC.2010.5687939","DOIUrl":"https://doi.org/10.1109/PIC.2010.5687939","url":null,"abstract":"Face detection is a very hot topic in research application of pattern recognition and computer vision. It is widely applied in artificial intelligence, video surveillance, identity authentication, human-machine interaction and so on. However, skin color detection has high false positive rate in complex background and AdaBoost algorithm was not satisfactory for detection of multi-pose and multi-face image. So a novel face detection method combined with skin color detection and an improved AdaBoost algorithm is proposed in this paper. First, it applies skin model segmentation and morphological operators to detect skin regions in the image. And according to the geometrical characteristics of the face, it screens the candidate face regions. Then by the improved classifiers in a cascade structure based on AdaBoost, it achieves more accurate promising regions of face. The experiment results show that this face detection algorithm improves the detection speed in both the quality of detection, and it can effectively reduce the error detection rate of single test method. This method has a good performance on image with complex background. Above all, this method has a certain theory value and practical value.","PeriodicalId":142910,"journal":{"name":"2010 IEEE International Conference on Progress in Informatics and Computing","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122041102","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: 42

Optimal viewpoint selection for volume rendering based on shuffled frog leaping algorithm 基于青蛙跳跃算法的体绘制最佳视点选择

2010 IEEE International Conference on Progress in Informatics and Computing Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687914

You-Sai Zhang, Bin Wang

引用次数: 9

Cluster tree based hybrid semantic similarity measure for social tagging systems 基于聚类树的社会标签系统混合语义相似度度量

2010 IEEE International Conference on Progress in Informatics and Computing Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687995

Changli Zhang, Jinjin Zhang, M. Yan

引用次数: 0

A privacy-preserving alert correlation model 一个隐私保护警报关联模型

2010 IEEE International Conference on Progress in Informatics and Computing Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687475

Jin Ma, Xiuzhen Chen, Jian-hua Li

引用次数: 0

Rebar automatically counting on the product line 螺纹钢自动计数生产线

2010 IEEE International Conference on Progress in Informatics and Computing Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5688012

Zhiqi Su, Kang-ling Fang, Zhengtao Peng, Zhifan Feng

引用次数: 10

Improved Multi-Objective PSO algorithm for Optimization Problems 优化问题的改进多目标粒子群算法

2010 IEEE International Conference on Progress in Informatics and Computing Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687409

Lu Wang, Yongquan Liang, Jie Yang

引用次数: 2

Pseudo-BCI filters and subalgebras in pseudo-BCI algebras 伪bci滤波器与伪bci代数中的子代数

2010 IEEE International Conference on Progress in Informatics and Computing Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687414

Xiaohong Zhang

引用次数: 2

Pixel-based image fusion using wavelet transform for SPOT and ETM+ image 基于小波变换的SPOT和ETM+图像像素融合

2010 IEEE International Conference on Progress in Informatics and Computing Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687880

Hongbo Wu, Y. Xing

{"title":"Pixel-based image fusion using wavelet transform for SPOT and ETM+ image","authors":"Hongbo Wu, Y. Xing","doi":"10.1109/PIC.2010.5687880","DOIUrl":"https://doi.org/10.1109/PIC.2010.5687880","url":null,"abstract":"Image fusion means merging two or more images in such a way as to preserving the most desirable characteristics of each image. Because of standard image fusion methods are often successful at adding spatial detail into the multispectral imagery but distort the colour information in the fusion process. So, the paper presents an approach for multi-resolution image fusion of a high-resolution SPOT (Satellite Pour l'Observation de la Terre, SPOT) panchromatic image and a low-resolution Landsat 7 ETM+ multispectral image based on wavelet transform (WT) combined with filtering in the Fourier domain. Firstly, the images were decomposed to some wavelet coefficients by Mallat algorithm; Secondly, the wavelet transform methods add the wavelet coefficients of the SPOT PAN image to ETM+ image. Finally, the fused image is reconstructed by performing the inverse wavelet transform for obtaining multispectral images of higher spatial resolution. In order to evaluate the quality of the fused images, three quantitive indicators such as Gradients, RMSE, Correlation Coefficients were defined in the paper. In the mean time, the results from a number of wavelet-based image fusion schemes which are the intensity-hue-saturation (IHS) and high-pass filter method (HPF) are compared and these fusion methods were used to synthesize the Landsat ETM+ data and SPOT-5 PAN data were. The evaluation results showed that the WT fusion methods perform the fusion of SPOT PAN image and ETM+ image better than IHS and HPF, specially in preserving both spectral and spatial information. Experiment results showed that the proposed WT fusion algorithm works well in multi-resolution fusion and also preserve the original color or spectral characteristics of the input image data.","PeriodicalId":142910,"journal":{"name":"2010 IEEE International Conference on Progress in Informatics and Computing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132685220","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: 27