Results 11 to 20 of about 648,474 (306)
Development of CMOS active pixel sensors [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This thesis describes an investigation into the suitability of complementary metal oxide semiconductor (CMOS) active pixel sensor (APS) devices for ...
Greig, Thomas Alexander
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Depth discontinuities by pixel-to-pixel stereo [PDF]
An algorithm to detect depth discontinuities from a stereo pair of images is presented. The algorithm matches individual pixels in corresponding scanline pairs while allowing occluded pixels to remain unmatched, then propagates the information between scanlines by means of a fast postprocessor.
Stan Birchfield, Carlo Tomasi
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SkeletonNet: Shape Pixel to Skeleton Pixel [PDF]
Deep Learning for Geometric Shape Understating has organized a challenge for extracting different kinds of skeletons from the images of different objects. This competition is organized in association with CVPR 2019. There are three different tracks of this competition.
Sabari Nathan, Priya Kansal
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Guided Super-Resolution As Pixel-to-Pixel Transformation [PDF]
Guided super-resolution is a unifying framework for several computer vision tasks where the inputs are a low-resolution source image of some target quantity (e.g., perspective depth acquired with a time-of-flight camera) and a high-resolution guide image from a different domain (e.g., a grey-scale image from a conventional camera); and the target ...
Riccardo de Lutio +3 more
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In dieser Arbeit werden Möglichkeiten untersucht, wie digitale Erdbeobachtung in Schulen erfolgreich sein kann. Dies geschieht sowohl aus inhaltlicher als infrastruktureller Sicht. Dabei werden bereits verwendete Lernanwendungen werden ausgewertet. Das Konzept dieser Materialien wird auf eine moderne Lerninfrastruktur übertragen.
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PixelNet: Representation of the pixels, by the pixels, and for the pixels
We explore design principles for general pixel-level prediction problems, from low-level edge detection to mid-level surface normal estimation to high-level semantic segmentation. Convolutional predictors, such as the fully-convolutional network (FCN), have achieved remarkable success by exploiting the spatial redundancy of neighboring pixels through ...
Aayush Bansal +4 more
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Pixel Crosstalk and Correlation with Modulation Transfer Function of CMOS Image Sensor [PDF]
The Modulation Transfer Function is a common metric used to quantify image quality but inter-pixel crosstalk analysis is also of interest. Because of an important number of parameters influencing MTF, its analytical calculation and crosstalk ...
Magali Estribeau +3 more
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Using fluorescence fluctuation spectroscopy to quantify molecular dynamics within cells [PDF]
Microscopy techniques like fluorescence correlation spectroscopy (FCS) and number and brightness analysis (N&B) allow to quantify concentrations, diffusion rates, and oligomerization of fluorescently labeled molecules in the living cell. In this protocol the principles of how to set up these types of experiments are described including calibration ...
Hink M.
europepmc +2 more sources
Using a Neural Network Method to Solve Image Segmentation Problems
Image segmentation plays an important role in detecting various diseases and pathologies through medical image processing. Over the years, a number of traditional approaches such as the binary threshold method (Otsu method), watershed method, and K-means
Moutouama N’dah Bienvenu Mouale
doaj +1 more source
We introduce PixelPlayer, a system that, by leveraging large amounts of unlabeled videos, learns to locate image regions which produce sounds and separate the input sounds into a set of components that represents the sound from each pixel. Our approach capitalizes on the natural synchronization of the visual and audio modalities to learn models that ...
Hang Zhao 0021 +5 more
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