A 128 times 64 pixel programmable vision sensor performs real-time analog image processing over high dynamic range images is reported. The pixel-parallel single instruction multiple data (SIMD) architecture executes real-time spatio-temporal…
Papers in Image Processing
Image Processing papers in Electrical and Electronic Engineering, A
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A 1/1.8-inch 6.4 MPixel 60 frames/s CMOS image sensor fabricated in a 0.18-mum single-poly triple-metal (1P3M) process is described. A zigzag-shaped 1.75 T/pixel architecture and a 10-bit counter-type column parallel ADC enables 2.5times2.5 mum2…
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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…
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By finding the maximum and minimum of yi-mxi1=or<i=or<N for certain slopes m, we propose here a simple and fast parallel algorithm to obtain the convex hull of N arbitrarily given points on an image board, The mathematical theory needed is included,…
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This paper presents a 2.1 M pixel, 120 frame/s CMOS image sensor with column-parallel delta-sigma (ΔΣ) ADC architecture. The use of a second-order ΔΣ ADC improves the conversion speed while reducing the random noise (RN) level as well. The ΔΣ ADC…
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In this research we use an active appearance model (AAM) as the core of a robust segmentation algorithm that combines contour and texture information to learn shape variability through a training procedure in trans-rectal ultrasound (TRUS) images of…
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A single-pixel camera for THz imaging has been proposed in 1. 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…
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Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al 7 proposed Two-directional two-dimensional PCA (2D)2-PCA for efficient face representation…
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Lifting-style implementations of wavelets are widely used in image coders. A two-dimensional (2-D) edge adaptive lifting structure, which is similar to Daubechies 5/3 wavelet, is presented. The 2-D prediction filter predicts the value of the next…
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Lifting-style implementations of wavelets are widely used in image coders. A two-dimensional (2-D) edge adaptive lifting structure, which is similar to Daubechies 5/3 wavelet, is presented. The 2-D prediction filter predicts the value of the next…
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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…
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Single Photon Emission Computed Tomography (SPECT) images suffer from poor resolution and low contrast, which make it difficult for physicians to put an accurate interpretation for diagnosis, in particular, early diagnosis. Although the Wiener…
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Inthis paper, we study speckle reduction technology for 3-D ultrasoundimages and a 3-D anisotropic diffusion (AD) filter is developed.The 3-D anisotropic diffusion filter works directly in the 3-Dimage domain and can overcome the limitations of the…
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Networked virtual environments like Second Life enable dis- tant people to meet for leisure as well as work. But users are represented through avatars controlled by keyboards and mouses, leading to a low sense of presence especially regard- ing body…
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A high resolution, cross-borehole, 3D electrical resistivity tomography (ERT) study of solute transport was conducted in a large experimental tank. ERT voxels comprising the time sequence of electrical images were converted into a 3D array of ERT…
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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…
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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…
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We have been developing user-steered image segmentation methods for situations which require considerable human assistance in object definition. In the past, we have presented two paradigms, referred to as live-wire and live-lane, for segmenting…
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PURPOSE: In the external beam radiation treatment of prostate cancers, successful implementation of adaptive radiotherapy and conformal radiation dose delivery is highly dependent on precise and expeditious segmentation-and registration of the…
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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…
Papers in associated sub-disciplines
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