Learn More
The localization of human faces in digital images is a fundamental step in the process of face recognition. This paper presents a shape comparison approach to achieve fast, accurate face detection that is robust to changes in illumination and background. The proposed method is edge-based and works on grayscale still images. The Hausdorff distance is used as(More)
Developing a system which generates a 3D representation of a whole scene is a difficult task. Several new technologies of 3D time-of-flight (ToF) imaging, which overcome various limitations of other 3D imaging systems, such as laser/radar/sonar scanners, structured light and stereo rigs have been developed in recent years. However, only limited work got(More)
In our previous work we presented a model-based approach to perform robust, high-speed face localization based on the Hausdorff distance. A crucial step during the design of the system is the choice of an appropriate edge model that fits for a wide range of different human faces. In this paper we present an optimization approach that creates and(More)
This paper presents a new robust real-time system for multiple object tracking in traffic scenes. Different from existing object tracking systems this system utilizes an optical matrix range sensor which is mounted onboard on a mobile vehicle. The new generation of matrix range sensor acquires directly dense matrixes of range data from 3D environment at a(More)
In this paper we describe an approach for an automatic evaluation system for laryngoscopical image sequences. We describe how glottis segmentation in high speed camera sequences can be done by using active rays. We show that active ray contour segmentation provides a good base for useful feature calculation. Afterwards we show how hidden Markov models(More)
  • 1