Computer Engineering Commons^™

Face Recognition With Multi-Stage Matching Algorithms, Xianming Chen

Dissertations

For every face recognition method, the primary goal is to achieve higher recognition accuracy and spend less computational costs. However, as the gallery size increases, especially when one probe image corresponds to only one training image, face recognition becomes more and more challenging. First, a larger gallery size requires more computational costs and memory usage. Meanwhile, that the large gallery sizes degrade the recognition accuracy becomes an even more significant problem to be solved.

A coarse parallel algorithm that equally divides training images and probe images into multiple processors is proposed to deal with the large computational costs and huge …

A Discriminative Imaging-Based Framework For Road Sign Condition Assessment Using Local Features And Svm Classifiers, Jafar Jameel Abukhait

Dissertations

Transportation departments are required to monitor the condition of road signs through appropriate condition assessment mechanisms to improve road safety and keep drivers properly informed. Typically, these mechanisms include visual inspection or specialized equipment such as retroreflectometers. These methods are costly, tedious, and risky since they need direct contact with road signs. Efforts to use emerging computer vision techniques for the assessment of road signs condition combined with the availability of road data inventories are allowing the automation of these processes, thus easing the inspection process, reducing costs of equipment, and decreasing the risks associated with the need for maintenance …