Results 11 to 20 of about 428,042 (307)
Depth discontinuities by pixel-to-pixel stereo [PDF]
Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 1999 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]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 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]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 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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, 2022 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
CoRR, 2017 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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Mapping pixels to LEDs for the Photon pixel coupling method
, 2022 This software is mapping pixels to LED positions.
Paul A. Gagniuc (1818325)
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CoRR, 2017 We propose an end-to-end learning framework for generating foreground object segmentations. Given a single novel image, our approach produces pixel-level masks for all "object-like" regions---even for object categories never seen during training. We formulate the task as a structured prediction problem of assigning foreground/background labels to all ...
Suyog Dutt Jain +2 more
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A digital high-dynamic-range CMOS image sensor with multi-integration and pixel readout request [PDF]
, 2007 A novel principle has been developed to build an ultra wide dynamic range digital CMOS image sensor. Multiple integrations are used to achieve the required dynamic.
Segura, Josep +7 more
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Weighted determination algoritm of boundary pixels
Системный анализ и прикладная информатика, 2021 While working with digital noise reduction techniques, which are based on theory of convolution matrix and used convolution operation, it necessary to use algorithms to bypass boundary pixels in the image pixel matrix.
D. V. Zaerko, V. A. Lipnitski
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A New Concept for Kilotonne Scale Liquid Argon Time Projection Chambers
Instruments, 2020 We develop a novel Time Projection Chamber (TPC) concept suitable for deployment in kilotonne-scale detectors, with a charge-readout system free from reconstruction ambiguities, and a robust TPC design that reduces high-voltage risks while increasing the
Jonathan Asaadi +27 more
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