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Graphics and Human Computer Interfaces Commons™
Open Access. Powered by Scholars. Published by Universities.®
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- Bayesian methods (1)
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- Feature extraction (1)
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- Wavelet transform (1)
Articles 1 - 3 of 3
Full-Text Articles in Graphics and Human Computer Interfaces
Poster Session A: Classification Of Compressed Human Face Images By Using Principle Components, Zahid Riaz, Arif Gilgiti, Zulfiqar Ali
Poster Session A: Classification Of Compressed Human Face Images By Using Principle Components, Zahid Riaz, Arif Gilgiti, Zulfiqar Ali
International Conference on Information and Communication Technologies
This paper describes the novel approach of classifying the humans on the basis of their compressed face images. The compression of the face images is performed using Discrete Wavelet Transform (DWT). While the classification encompass the use of Principal Components Analysis (PCA). Classification technique utilizes PCA in some different way. Only first principal component is used as feature vector out of 92 components (since image size is 112×92), causing a better results of 87.39%. The Euclidean distance is used as distance metric. In the end our results are compared to our previous research of classifying the uncompressed images.
A New Approach For Anti-Aliasing Raster Data In Air Borne Imagery, Fahim Arif, Muhammad Akbar
A New Approach For Anti-Aliasing Raster Data In Air Borne Imagery, Fahim Arif, Muhammad Akbar
International Conference on Information and Communication Technologies
Air borne sensed data is in the form of raster data. Aliasing is always present in a sampled image causing artifact error. To reduce possible aliasing effects, it is a good idea to blur an image slightly before applying a resampling method on it. This paper presents a technique for anti-aliasing remotely sensed images. The technique uses Gaussian low pass filter (GLPF) for generation of slight blur. Then resampling of raster data is performed with the help of bilinear interpolation. Algorithm is developed in MATLAB using some inbuilt functions.
Using Agents For Unification Of Information Extraction And Data Mining, Sharjeel Imtiaz, Azmat Hussain, Dr. Sikandar Hiyat
Using Agents For Unification Of Information Extraction And Data Mining, Sharjeel Imtiaz, Azmat Hussain, Dr. Sikandar Hiyat
International Conference on Information and Communication Technologies
Early work for unification of information extraction and data mining is motivational and problem stated work. This paper proposes a solution framework for unification using intelligent agents. A Relation manager agent extracted feature with cross feedback approach and also provide a Unified Undirected graphical handle. An RPM agent an approach to minimize loop back proposes pooling and model utilization with common parameter for both text and entity level abstractions.