Robust Fitting in Computer Vision: Easy or Hard?

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...

Robust Parameter Estimation in Computer Vision: Geometric Fitting and Deformable Registration

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Robust Statistics for Computer Vision: Model Fitting, Image Segmentation and Visual Motion Analysis

Comparison of Different Targets Used in Augmented Reality Applications in Ubiquitous GIS

Drilling requires accurate information about locations of underground infrastructures or it can cause serious damages. Augmented Reality (AR) as a technology in Ubiquitous GIS (UBIGIS) can be used to visualize underground infrastructures on smartphones. Since smartphone’s sensors do not provide such accuracy, another approaches should be applied. Vision based computer vision systems are well kn...

Median and Mode Ellipse Parameterization for Robust Contour Fitting

Problems that require the parameterization of closed contours arise frequently in computer vision applications. This article introduces a new curve parameterization algorithm that is able to fit a closed curve to a set of points while being robust to the presence of outliers and occlusions in the data. This robustness property makes this algorithm applicable to computer vision applications wher...