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Titlebook: Computer Vision -- ECCV 2010; 11th European Confer Kostas Daniilidis,Petros Maragos,Nikos Paragios Conference proceedings 2010 Springer-Ver

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51#
發(fā)表于 2025-3-30 10:16:18 | 只看該作者
52#
發(fā)表于 2025-3-30 15:06:29 | 只看該作者
Compressive Acquisition of Dynamic Scenesow the classical Nyquist rate. Despite significant progress in the theory and methods of CS, little headway has been made in compressive video acquisition and recovery. Video CS is complicated by the ephemeral nature of dynamic events, which makes direct extensions of standard CS imaging architectur
53#
發(fā)表于 2025-3-30 19:45:40 | 只看該作者
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發(fā)表于 2025-3-30 23:47:50 | 只看該作者
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發(fā)表于 2025-3-31 04:20:18 | 只看該作者
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發(fā)表于 2025-3-31 07:09:25 | 只看該作者
An Iterative Method with General Convex Fidelity Term for Image Restorationdratic) convex fidelity terms. Convergent iterative regularization methods have been employed for image deblurring or denoising in the presence of Gaussian noise, which use .. [1] and .. [2] fidelity terms. Iusem-Resmerita [3] proposed a proximal point method using inexact Bregman distance for minim
57#
發(fā)表于 2025-3-31 12:09:19 | 只看該作者
One-Shot Optimal Exposure Controlrithm relies on a new quantitative measure of exposure quality, based on the average rendering error, that is, the difference between the original irradiance and its reconstructed value after processing and quantization. In order to estimate the exposure quality in the presence of saturated pixels,
58#
發(fā)表于 2025-3-31 16:58:17 | 只看該作者
Analyzing Depth from Coded Aperture Setsng on viewpoint variations, defocus changes and general aperture codes. However, the tradeoffs between such designs are not well understood. Depth estimation from computational camera measurements is a highly non-linear process and therefore most research attempts to evaluate depth estimation strate
59#
發(fā)表于 2025-3-31 17:53:50 | 只看該作者
60#
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