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Titlebook: Advances in Visual Computing; 10th International S George Bebis,Richard Boyle,Mark Carlson Conference proceedings 2014 Springer Internation

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樓主: 婉言
41#
發(fā)表于 2025-3-28 16:47:30 | 只看該作者
Hierarchical Spanning Tree-Structured Approximation for Conditional Random Fields: An Empirical Studerimental validation on synthetic and real-world imagery datasets and demonstrated better performance of the cascade tree-based model over the original grid-structured CRF model with loopy belief propagation inference.
42#
發(fā)表于 2025-3-28 21:27:48 | 只看該作者
3D Estimation of Isometric Surfaces Using a ToF-Based Approach the image points of the mesh vertices. Bundle adjustment is then used to isometrically reconstruct the surfaces. Experimental results show that the proposed approach is robust against noise, generating accurate 3D reconstructions despite the low-resolution of the depth images.
43#
發(fā)表于 2025-3-29 02:23:50 | 只看該作者
44#
發(fā)表于 2025-3-29 03:27:45 | 只看該作者
45#
發(fā)表于 2025-3-29 08:27:17 | 只看該作者
Principal Axes-Based Asymmetry Assessment Methodology for Skin Lesion Image Analysisl feature selection and machine learning classification methods in order to minimize the classification error. For dermoscopic images, the developed methodology achieves an accuracy of 87% regarding asymmetry classification while, for mobile acquired images the accuracy reaches 73.1%.
46#
發(fā)表于 2025-3-29 13:11:39 | 只看該作者
47#
發(fā)表于 2025-3-29 19:05:19 | 只看該作者
48#
發(fā)表于 2025-3-29 20:37:23 | 只看該作者
Proximity Clustering for Revealing a Semantically Dominant Classfication, segmentation and an abnormal event detection from the video using the proposed motion features. Experimental results show that the PxC improves performance of the image classification and the unsupervised image segmentation.
49#
發(fā)表于 2025-3-30 03:46:40 | 只看該作者
50#
發(fā)表于 2025-3-30 06:39:55 | 只看該作者
Shape from Refocus reordered. We also present a view matching method which further stabilizes the suggested procedure when fused with sharpness assessment. Results for real-world objects from an inspection task are presented. Comparison to ground-truth data showed average depth errors on the order of magnitude of 1 mm for a depth range of 1 cm.
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