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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)
Face detection plays an important role in many applications of face biometrics. With so much of digitalization, many color images and different color models have evolved in recent years. To detect a face in such image, localizing the face from other background objects have also been a challenging task. Segmenting an image based on skin color as feature had(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)
Increasing and maintaining human productivity of different tasks in stressful environment is a challenge. Music is a vital mood controller and helps in improving the mood and state of the person which in turn will act as a catalyst to increase productivity. Continuous music play requires creating and managing personalized song playlist which is a time(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)
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