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Intracranial hemorrhage (ICH) is a vital disease which occurs due to leakage or rupture of blood vessels within the brain tissue. In this paper, we propose a novel three-dimensional (3D) method for segmenting hemorrhage regions from a series of brain computed tomography (CT) images. This method combines a supervoxel approach for rough segmentation and three-dimensional graph cuts for refined segmentation...
Automatic 3D face registration is highly important for 3D face recognition, which can also be used in facial feature segmentation, facial mesh reconstruction, face synthesis and motion capture. In this paper, we propose a coarse-to-fine 3D face registration approach based on template matching of depth images and depth-based active appearance model (AAM). First we construct three multi-angle nose templates...
Automatic detection of nose regions on 3D face images is highly important for 3D face registration and recognition. It can also be used in facial landmark detection which is important in facial feature segmentation, facial shape analysis, face synthesis and facial mesh reconstruction. In this paper, we propose a nose detection approach based on template matching of depth images. We have constructed...
Inspired by the serum pooling strategy in medical area, this paper presents a new approach for video fingerprint search. The proposed method has adopted the serum pooling strategy to reduce the unnecessary matching calculation during the search process. Two observations about random vectors are given, which enable us to obtain a general similarity measure and accelerate the search speed without losing...
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