Minjia Krueger

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Segmentation and extraction of face features from 2D images has been researched extensively in the past. Recent research shows that algorithms incorporating 3D information often perform better than purely 2D approaches in many areas of computer vision including face biometrics and recognition. Cheaper and readily available 3D data acquisition devices(More)
Active contours and their successors are widely used in image segmentation and feature extraction, which belong to the most important tasks in computer vision and image analysis. Their application to planar 2D and 3D images represented as stacks of planar 2D sections was researched extensively in the past. Only recently efforts have been made to generalise(More)
Support vector machine has obtained more and more attentions as a new method of machine learning based on the statistic learning theory. At the same time, there are increasing concerns about the fault diagnosis for practical engineering systems. Firstly, many kinds of SVM algorithms will be introduced, such as LS-SVM, LSVM and PSVM and so on. Besides, the(More)
The inspection of bridges is currently made by visual inspection or by wired sensor techniques, which are relatively expensive, vulnerable to damage, and time consuming to install. In contrast, wireless sensor networks are easy to deploy and flexible in application so that the network can adjust to the individual structure. Different sensing techniques can(More)
Due to the increase in worldwide energy demand, wind energy technology has been developed rapidly over the past years. With a fast growing of wind power installed capacity, an efficient monitoring system for wind energy conversion system (WEC) is required to ensure operational reliability, high availability of energy production and at the same time reduce(More)
With the rapid growth of wind energy installed capacity, optimized maintenance has gained increasingly attentions from both researchers and wind farm owners. Condition-based maintenance (CBM) has been introduced to the wind energy industry in order to ensure the availability and safety of the wind energy conversion (WEC) system, while minimize the operating(More)
Principal component analysis (PCA) and Partial least square (PLS) are powerful multivariate statistical tools that have been successfully applied for process monitoring. They are efficient in dimension reduction and are suitable for processing large amount of data. Nevertheless, their application scope is restricted to static processes where the dynamics(More)
3D face analysis is a field of growing interest in the applied Computer Vision community, its applications including face recognition, modelling and biometrics, virtual and augmented reality. While several works exist on the extraction of feature points from 3D face data, there is so far no automatic system for 3D face feature contour segmentation. This(More)