hassan_noaman

أ. د حسان النعمانى

استاذ - رئيس الجامعة - جامعة سوهاج

كلية الطب

العنوان: العنوان الشخصى : ش الجمهورية بسوهاج -عنوان العمل : مبنى الادارة المركزية - الدور الثالث -جامعة سوهاج

29

إعجاب

المنشورات و المؤلفات التي تحتوي علي الكلمة المفتاحية: Feature extraction


2018-12-01 18:27:32 الكلمات المفتاحية f-HOL features, Action Recognition, Activity Recognition, Feature extraction,
A hybrid cascade approach for human skin segmentation
Inspired by the overwhelming success of Histogram of Oriented Gradients (HOG) features in many vision tasks, in this paper, we present an innovative compact feature descriptor called fuzzy Histogram of Oriented Lines (f-HOL) for action recognition, which is a distinct variant of the HOG feature descriptor. The intuitive idea of these features is based on the observation that the slide ... إقراء المزيد

Robust methods for hand gesture spotting and recognition using hidden markov models and conditional random fields
This paper proposes an automatic method that handles hand gesture spotting and recognition simultaneously. To spot meaningful gestures of numbers (0-9) accurately, a stochastic method for designing a non-gesture model with Hidden Markov Models (HMMs) versus Conditional Random Fields (CRFs) is proposed without training data. The non-gesture model provides a confidence measure that is used as an adaptive threshold to ... إقراء المزيد

2018-09-23 12:34:53 الكلمات المفتاحية Face recognition, Feature extraction,
A new Method for Face Recognition Using Variance Estimation and Feature Extraction
ABSTRACT Face recognition has been one of the most studied topics in the last decades. Its research has increased in many applications in communications and automatic access control systems. In this paper, a new face recognition method based on OpenCV face detection technique is introduced. The goal of the propose method is to detect faces that exist in the image ... إقراء المزيد

2018-09-02 12:57:08 الكلمات المفتاحية Feature extraction, Information Content, Map updating.,
Using Of High Resolution Satellite Images For Updating Large Scale Mapping In EGYPT
High and accelerating rate of the urban changes and extensions, in developing countries such as Egypt, calls for an efficient and fast technique for mapping. The availability of the new generation commercial one-meter resolution satellite images has opened a new era for producing and updating large-scale digital maps. The main objective of this study is to evaluate the potential of ... إقراء المزيد

Efficient Region-Based Image Querying
Retrieving images from large and varied repositories using visual contents has been one of major research items, but a challenging task in the image management community. In this paper we present an efficient approach for region-based image classification and retrieval using a fast multi-level neural network model. The advantages of this neural model in image classification and retrieval domain will ... إقراء المزيد

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