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Titlebook: Computer Vision – ECCV 2012; 12th European Confer Andrew Fitzgibbon,Svetlana Lazebnik,Cordelia Schmi Conference proceedings 2012 Springer-V

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樓主: Gullet
21#
發(fā)表于 2025-3-25 06:51:39 | 只看該作者
Fast Parameter Sensitivity Analysis of PDE-Based Image Processing Methodsw Monte Carlo runs. To demonstrate the efficiency and simplicity of the approach we show a parameter sensitivity analysis for Perona-Malik diffusion, random walker and Ambrosio-Tortorelli segmentation, and discontinuity-preserving optical flow computation.
22#
發(fā)表于 2025-3-25 07:34:20 | 只看該作者
0302-9743 es, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.978-3-642-33785-7978-3-642-33786-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
23#
發(fā)表于 2025-3-25 14:03:51 | 只看該作者
24#
發(fā)表于 2025-3-25 16:48:19 | 只看該作者
25#
發(fā)表于 2025-3-25 20:05:50 | 只看該作者
https://doi.org/10.1007/978-1-349-01974-8that by incorporating dynamics, modelling annotation/sequence specific biases, noise estimation and time warping, DPCTW outperforms state-of-the-art methods for both the aggregation of multiple, yet imperfect expert annotations as well as the alignment of affective behavior.
26#
發(fā)表于 2025-3-26 01:53:04 | 只看該作者
27#
發(fā)表于 2025-3-26 05:57:17 | 只看該作者
Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysishen combined with discriminative SVM classifier, consistently achieves state-of-the-art performance on challenging texture and facial analysis datasets outperforming contemporary methods (with similar powerful classifiers).
28#
發(fā)表于 2025-3-26 11:03:47 | 只看該作者
SEEDS: Superpixels Extracted via Energy-Driven Samplingies and the superpixel color histogram. In a series of experiments, we show that we achieve an excellent compromise between accuracy and efficiency. We are able to achieve a performance comparable to the state-of-the-art, but in real-time on a single Intel i7 CPU at 2.8GHz.
29#
發(fā)表于 2025-3-26 12:58:02 | 只看該作者
30#
發(fā)表于 2025-3-26 20:28:55 | 只看該作者
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