Modular Real-Time Face Detection System

Real-Time Face Detection

Motivation: Most object detection tasks in computer vision are computationally extensive because of a) the large amount of input data that has to be processed and b) the use of complex classifiers that are robust against pose and illumination changes. Speeding-up the classification is therefore of major concern when developing systems for real-world applications. We investigate two methods for ...

Rotation Invariant Real - time Face Detection and Recognition System

Rotation Invariant Real-time Face Detection and Recognition System

In this report, a face recognition system that is capable of detecting and recognizing frontal and rotated faces was developed. Two face recognition methods focusing on the aspect of pose invariance are presented and evaluated | the whole face approach and the component-based approach. The main challenge of this project is to develop a system that is able to identify faces under di erent viewin...

Towards Real-Time Multiresolution Face/Head Detection

Reliable and real-time face detection is a basic ability for any Vision Based Interface. This paper combines and exploits the benefits of two different face detectors specialized each one in a specific context. The resulting system improves their respective individual performances by means of their cooperation, the integration of temporal coherence, persistence and explicit knowledge about the ...

Real-Time Face Detection for Kiosk Interfaces

When two or more humans communicate, nonverbal signals constitute between 60% and 90% of the meaning communicated. This means that vision is an integral part of the communication between humans. However, computer vision has not been used much in human-computer interaction yet. One reason for this is that functional computer vision systems are very difficult to construct. Even a seemingly simple...