This paper addresses the question of computationally inexpensive yet discriminative and robust feature sets for real-world face recognition. The proposed descriptor named Patterns of Oriented Edge Magnitudes (POEM) has desirable properties: POEM (1) is an oriented, spatial multi-resolution descriptor capturing rich information about the original image; (2) is a multi-scale self-similarity based...

In this paper, a new feature called 3D edge oriented gradient histogram of slide blocks is proposed for human action recognition, based on the idea that the slide area of human body edge can be seen as a spatio-temporal silhouette surface when human performing a certain action in video. This feature is processed by defining dense 3D spatio-temporal slide blocks on the spatio-temporal silhouette...

Abstract Urban pavement disease recognition is for the most part, a mission performed manually. Recently, video analysis task has been one of important applications in various fields. Aims to renovate on automated vision-based and experiment new methods road detection, this paper analyzes images took from city image data visualization issues. From features extracted histogram oriented gradient,...

Sclera vein recognition is an evolving technology for the pattern recognition system that recognize a person for authentication .sclera vein recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its many applications in various domains. This paper has several contributi...

Many researchers adopt Local Binary Pattern for pattern analysis. However, the long histogram created by Local Binary Pattern is not suitable for large-scale facial database. This paper presents a simple facial pattern descriptor for facial expression recognition. Local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...

Video can be regarded as three dimensional spatio-temporal volume, in which human action is a three dimensional shape (3D shape) surrounded by the spatio-temporal silhouette surface. The type of human action depends on the shape of the silhouette surface. In this paper, we proposed a new feature called Oriented Gradient Histogram of Slide Blocks by building dense overlapping spatio-temporal sli...

Background: Temporomandibular joint disorder (TMD) might be manifested as structural changes in bone through modification, adaptation or direct destruction. We propose to use Local Binary Pattern (LBP) characteristics and histogram-oriented gradients on the recorded images as a diagnostic tool in TMD assessment.Material and Methods: CBCT images of 66 patients (132 joints) with TMD and 66 normal...

Car accidents due to Deer-Vehicle Crashes (DVC’s) are one of the major safety concerns for the driving on rural roads in Europe and North America. Many attempts have been made to reduce the occurrences of these accidents, but none of them has yet proved effective. With the development of infrared imaging technology, using thermal images to identify the presence of deer in night has become possi...

This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles and their "nonensemble" variants for lung cancer prediction. These machine learning classifiers were trained to predict lung cancer using samples of patient nucleotides with mutations in the epidermal growth factor receptor, Kirsten rat sarcoma viral oncogene, and tumor su...