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Recent advancement in unsupervised and transfer learning methods of deep learning networks has seen a complete paradigm shift in machine learning. Inspired by the recent evolution of deep learning (DL) networks that demonstrates a proven pathway of addressing challenging dilemmas in various problem domains, we propose a novel DL framework for expression-robust feature acquisition. The framework exploits...
In histopathology images, there often exists several Nuclei overlapped with each other which causes difficulty to automatic nuclei segmentation. As we all know, watershed algorithm has been widely employed in image segmentation. But the limitation of watershed segmentation is sensitive to noise and can lead to serious over-segmentation. In this paper, we present an improved watershed transformation...
For the purpose of motion-compensated processing we propose a temporal modeling approach for determining the image motion in a gated cardiac sequence, wherein the inherent image motion is periodic over time. To exploit the periodic nature of the cardiac motion, we use a Fourier harmonic representation to describe the motion field for the entire sequence. We then determine the motion field by estimating...
In this paper we propose a method for estimating human skeleton proportions automatically from two-dimensional (2D) joint locations extracted from a monocular video. Unlike many other methods where the three-dimensional (3D) human postures are pre-known or posture estimations are required, the proposed method does not require correct posture recoveries for the purpose of acquiring the human skeleton...
A motion trend analysis (MTA) system is proposed for 3D human motion reconstruction from uncalibrated monocular video sequences. In this paper, a method named Motion Level Control is proposed to improve the accuracy and efficiency of the MTA system in human translation reconstruction. This method provides automatic assistance in detecting and further amending 3D motion information on transformation...
We propose a temporal modeling approach for determining image motion from a sequence of images within which the inherent motion is periodic. To exploit the periodic nature of the motion, we use a Fourier harmonic representation to model the motion field for the entire sequence. We then determine the motion field by estimating the parameters of this representation model. This joint estimation approach...
2D Shepp-Logan head model is the classical model of simulations in 2D medical image reconstruction of CT. A method, considering 3D Shepp-Logan head model as the reference model of simulations in 3D medical image reconstruction of spiral CT, is proposed in the paper. Designing of 3D Shepp-Logan head model as well as computing of the projection data is introduced, and then the simulation for 3D medical...
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