نتایج جستجو برای: directional gradient feature

تعداد نتایج: 387199  

Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...

Journal: :Intelligent Automation & Soft Computing 2002
S. Sitharama Iyengar Vir V. Phoha Yuyan Wu Hla Min

The ability to recognize edges of an object is of fundamental importance in computer vision and image processing. In this paper, wc present a fast, efficient mcthod of edge extraction of images using directional tracing algorithm. Our work builds on the work of R. Nevatia and K.R. Babu [5], who usc linear feature extraction to present algorithms for edge extraction. By employing an intuitive pr...

Journal: :EAI Endorsed Transactions on Creative Technologies 2020

2010
Nicholas W. Oesch W. Rowland Taylor

The biophysical mechanisms that give rise to direction selectivity in the retina remain uncertain. Current evidence suggests that the directional signal first arises within the dendrites of starburst amacrine cells (SBACs). Two models have been proposed to explain this phenomenon, one based on mutual inhibitory interactions between SBACs, and the other positing an intrinsic dendritic mechanism ...

2014
Iman A. Saad Loay E. George

Abstract—Iris pattern is an important biological feature of human body; it becomes very hot topic in both research and practical applications. In this paper, an algorithm is proposed for iris recognition and a simple, efficient and fast method is introduced to extract a set of discriminatory features using first order gradient operator applied on grayscale images. The gradient based features ar...

Journal: :CoRR 2014
Bo Wang Anna Goldenberg

Analysis of high dimensional noisy data is of essence across a variety of research fields. Feature selection techniques are designed to find the relevant feature subset that can facilitate classification or pattern detection. Traditional (supervised) feature selection methods utilize label information to guide the identification of relevant feature subsets. In this paper, however, we consider t...

2003
W. Y. Chan N. F. Law W. C. Siu

In order to achieve a multiple resolution with multiple directional feature analysis, a Laplacian pyramid is combined with directional filter bank. This requires the analysis on the design of both the filter in the Laplacian pyramid and the overall directional decomposition structure. Our analysis shows that the energy distribution of the filter in the Laplacian pyramid should match with the an...

Journal: :The Open Cybernetics & Systemics Journal 2014

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