Christian Küblbeck

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In this paper we describe our ongoing work on real-time face detection in grey level images using edge orientation information. We will show that edge orientation is a powerful local image feature to model objects like faces for detection purposes. We will present a simple and efficient method for template matching and object modeling based solely on edge(More)
In this paper we describe an approach that enables the detection, tracking and fine analysis (classification of gender and facial expression) of faces using a single web camera. One focus of the paper lies in the description of the concept of a framework that was designed in order to create a flexible environment for varying detection tasks. We describe the(More)
The main contribution of this work is a new view to face-tracking namely to associate the independent detection results obtained by applying a real-time detector to each frame of a sequence. This differs fundamentally from traditional tracking which is mostly understood as finding the location of a target object given its previous position and a(More)
An important topic in face recognition as well as in video coding or multi-modal human machine interfaces is the automatic localization of faces or headand-shoulder regions in visual scenes. The algorithms therefore should be computationally eficient and robust against distortions like varying lighting conditions. This paper describes a novel method for(More)
Zusammenfassung. Die vorliegenden Arbeit beschäftigt sich mit der automatischen Klassifikation von zytologischer Proben des Gebährmutterhalses sowie von Sputum. Die Klassifikation der Stichproben wird jeweils auf einem hochdimensionalen Merkmalsvektor, bestehend aus unterschiedlichen TexturMerkmalen durchgeführt. Zur Verbesserung der(More)