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Titlebook: Computer Vision, Imaging and Computer Graphics. Theory and Applications; International Joint Paul Richard,José Braz Conference proceedings

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樓主: obdurate
31#
發(fā)表于 2025-3-27 00:05:44 | 只看該作者
Vision-Realistic Rendering: Simulation of the Scanned Foveal Image with Elimination of Artifacts duerendered image..Although processing in image space allows an increase in speed, the images may have artifacts introduced due to . or .. Two approaches for object identification to properly blur the scene are discussed..Applications of vision-realistic rendering in computer graphics as well as in optometry and ophthalmology are discussed.
32#
發(fā)表于 2025-3-27 03:56:14 | 只看該作者
33#
發(fā)表于 2025-3-27 07:01:36 | 只看該作者
34#
發(fā)表于 2025-3-27 09:39:31 | 只看該作者
35#
發(fā)表于 2025-3-27 14:32:54 | 只看該作者
Interactive Rigid Body Dynamics Using a Projected Gauss–Seidel Subspace Minimization Methodcted Gauss–Seidel method. We combine the Projected Gauss–Seidel method with a subspace minimization method. Our new method shows improved qualities and superior convergence properties for specific configurations.
36#
發(fā)表于 2025-3-27 20:26:50 | 只看該作者
37#
發(fā)表于 2025-3-27 23:00:11 | 只看該作者
38#
發(fā)表于 2025-3-28 03:09:35 | 只看該作者
Decoding 1-D Barcode from Degraded Images Using a Neural Networkvantage of immediate identification of the barcode are possible. The existing open-source libraries for 1-D barcodes recognition are not able to recognize the codes from images acquired using simple devices without autofocus or macro function. In this article we present an improvement of an existing
39#
發(fā)表于 2025-3-28 08:41:02 | 只看該作者
Perspective Two-Frame-Theory for Shape Recovery under Turntable Motionfor 3. shape recovery. It estimates shape by solving a first order quasi-linear partial differential equation through the method of characteristics. One major drawback of this method is that it assumes an orthographic camera which limits its application. This paper re-examines the basic idea of the
40#
發(fā)表于 2025-3-28 12:40:21 | 只看該作者
Expanding the Local Binary Pattern to Multispectral Images Using Total Orderings even hyperspectral data, it becomes necessary to define multispectral texture features. We propose here a natural extension of the classical Local Binary Pattern (LBP) operator to the case of multispectral images. The Loc al Multispectral Binary Pattern (LMBP) operator is based on the definition of
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