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Papers in Image Processing

Image Processing papers in Electrical and Electronic Engineering, A

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Papers 1 - 20 of 4,228 in Image Processing, A
  1. A 1/2.7-in 1944 times 1484 pixel CMOS image sensor with double CDS architecture fabricated in a 0.18-mum single-poly triple-metal (1P3M) CMOS process is described. It operates at 48 MHz in a progressive scanning mode at 60 frames/s for full…
  2. A single-pixel camera for THz imaging has been proposed in. In this article, we propose a new design for a single-detector THz imaging system based on compressive sampling (CS), which does not need raster scanning of the object in front of the THz…
  3. This paper presents a 3D facial recognition algorithm based on the Hausdorff distance metric. The standard 3D formulation of the Hausdorff matching algorithm has been modified to operate on a 2D range image, enabling a reduction in computation from…
  4. Manual quantitative analysis of cardiac left ventricular function using Multislice CT and MR is arduous because of the large data volume. In this paper, we present a 3-D active shape model (ASM) for semiautomatic segmentation of cardiac CT and MR…
  5. In this paper we introduce a 3-dimensional (3D) SIFT descriptor for video or 3D imagery such as MRI data. We also show how this new descriptor is able to better represent the 3D nature of video data in the application of action recognition. This…
  6. Generative 3D face models are a powerful tool in computer vision. They provide pose and illumination invariance by modeling the space of 3D faces and the imaging process. The power of these models comes at the cost of an expensive and tedious…
  7. Traditionally, human facial expressions have been studied using either 2D static images or 2D video sequences. The 2D-based analysis is incapable of handing large pose variations. Although 3D modeling techniques have been extensively used for 3D…
  8. This paper presents a method for modelling semantic content in scenes, in order to facilitate urban driving. More specifically, it presents a 3D classifier based on Velodyne data and monocular color imagery. The system contains two main components:…
  9. Three dimensional (3D) pulmonary parenchyma segmentation is an indispensable step in CAD (Computer-Aided Detection) that used for pulmonary nodule detection based on CT images. In this paper, we proposed a simple and effective 3D lung parenchyma…
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