A Fast and Robust Automatic Face Alignment System

A Fast, Robust, Automatic Blink Detector

Introduction “Blink” is defined as closing and opening of the eyes in a small duration of time. In this study, we aimed to introduce a fast, robust, vision-based approach for blink detection. Materials and Methods This approach consists of two steps. In the first step, the subject’s face is localized every second and with the first blink, the system detects the eye’s location and creates an ope...

Human Face Verification by Robust 3D Surface Alignment

Human Face Verification by Robust 3D Surface Alignment By Dirk Joel Luchini Colbry Traditional 2D face recognition systems are not tolerant to changes in pose, lighting and expression. This dissertation explores the use of 3D data to improve face recognition by accounting for these variations. A two step, fully automatic, 3D surface alignment algorithm is developed to correlate the surfaces of ...

A Robust Strucutural Fingerprint Restoration

Fast and accurate ridge detection in fingerprints is essential to each AFIS (Automatic Fingerprint Identification System). Smudged furrows and cut ridges in the image of a finger print are major problems in any AFIS. This paper investigates a new online ridge detection method that reduces the complexity and costs associated with the fingerprint identification procedure. The noise in fingerprint...

Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system

Fully automatic, robust and precise alignment of measured 3D surfaces for arbitrary orientations1)

We address the problem of Euclidean alignment of two partially overlapping surfaces represented by measured 3D point sets contaminated by noise and outliers. Recently, we have proposed the Trimmed Iterative Closest Point algorithm (TrICP) [3] which is fast, applicable to overlaps under 50% and robust to erroneous and incomplete measurements. In this study, we combine the precision and robustnes...