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Registration plays a vital role in 3D face recognition. In the registration phase, some fiducial points are needed. In this paper, a method is proposed to automatically localize landmark points. In addition, the performance of registration is affected by deformations caused by expression variations. It is asserted that regional registration and recognition is resistant to facial deformations. Finally,...
Deformations caused by facial expression variations complicate the task of 3D face registration which is vital for successful 3D face recognition systems. In this work, we propose to use a hierarchical component-based face registration technique capable of handling the difficulties caused by non-rigid nature of faces. Local components independently registered by the iterative closest point (ICP) algorithm...
Facial expression variations and occlusions complicate the task of identifying persons from their 3D facial scans. We propose a new 3D face registration and recognition method based on local facial regions that is able to provide better accuracy in the presence of expression variations and facial occlusions. Proposed fast and flexible alignment method uses average regional models (ARMs), where local...
This paper exhibits the performance drop in 3D face recognition in the presence of expression and proposes a new 3D face registration and recognition method based on facial regions. For fast alignment, a registration method based on iterative closest point (ICP) algorithm is used which employs average regional models (ARMs). Similarity scores obtained from alignment with separate regional models are...
After the Turkey-Marmara earthquake that occurred in 1999, it was realized that this region had a great risk because of its closeness to the North-Anatolian fault line. Going on research showed that another severe earthquake is expected in the following thirty years. These research results brought into agenda not only the precautions that should be considered but also the importance of the rescue...
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