conclusion osem3d may provide better image quality and higher contrast than other methods for small animal imaging with the new myocardial imaging agent, [18f] fptp. results the location and size of myocardial infarction on pet images correlated closely with that observed with ttc staining. among the four reconstruction methods, osem3d provided the best assessment of infarct size (r2 = 0.994, p...

We present a novel region-based matching approach for automatic 3D face recognition which is robust to facial expressions, facial hair, illumination changes and large occlusions. Each 3D face in the gallery is segmented offline into three disjoint regions, namely eyes-forehead, nose and cheeks. Recognition is performed on the basis of only the eyes-forehead and nose regions to avoid the effects...

Face recognition in uncontrolled environments is hindered by variations in illumination, pose, expression and occlusions of faces. Many practical face-recognition systems are affected by these variations. One way to increase the robustness to illumination and pose variations is to use 3D facial images. In this paper 3D face-recognition systems are presented. Their structure and operation are de...

Recent some researches on realistic computer graphics (CG) focus on synthesis of photographs and virtual objects. Image Based Lighting (IBL) is one of the techniques to generate naturally illuminated images by using photographs. This paper reports a new experiment to render virtual objects into real scenes with near light sources, which have not been considered in original IBL. Our experiment s...

3D facial data has a great potential in overcoming the problems of illumination and pose variation in face recognition. In this paper, we investigate face recognition from range data by facial profiles and surface. An efficient symmetry plane detection method for facial range data is presented to help extract facial profile. A global profile matching method is then exploited to align and compar...

A method for optimizing MR imaging pulse sequence parameters in a statistical framework is presented. Parameters are defined to be optimal when the resulting scalar images yield optimal image segmentations using Bayesian pixel classification. Thus, Bayes risk is used as the objective function to minimize. Approximations are made to give a tractable solution in a four-step procedure. A sample ca...