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Titlebook: Computer Vision and Graphics; International Confer Leszek J. Chmielewski,Ryszard Kozera,Nicolai Petko Conference proceedings 2018 Springer

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楼主: 刘兴旺
发表于 2025-3-28 15:38:14 | 显示全部楼层
Installing GCC on DOS and Windows Platforms,weather component is characterized individually. The results obtained are promising. The accuracy rates for the weather components achieved are; the sky condition attained 80%, the presence of rain attained 60%, and visibility achieved a mean squared error (MSE) of 1.41.
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Algorithms for Random Maps Generation and Their Implementation as a Python Library for biomes creation and river generation. Complete library implementation with an example use in a separate application is explained in detail. Basic issues related to developing programming libraries and random map generations are also discussed.
发表于 2025-3-28 23:37:08 | 显示全部楼层
Weather Characterization from Outdoor Scene Imagesweather component is characterized individually. The results obtained are promising. The accuracy rates for the weather components achieved are; the sky condition attained 80%, the presence of rain attained 60%, and visibility achieved a mean squared error (MSE) of 1.41.
发表于 2025-3-29 04:51:48 | 显示全部楼层
Level-Set Based Algorithm for Automatic Feature Extraction on 3D Meshes: Application to Crater Detec. The developed method is based on a study of the Digital Elevation Model (DEM) geometry, represented as a 3D triangulated mesh. We use curvature analysis, in combination with a fast local quantization method to automatically detect the craters’ rims with artificial neural network. The validation of the method is performed on Barlow’s database.
发表于 2025-3-29 07:53:46 | 显示全部楼层
Scene Recognition for Indoor Localization of Mobile Robots Using Deep CNN the proposed algorithm considerably outperforms BoW algorithms, which are frequently used in loop-closure. It also outperforms an algorithm in which features extracted by FC-6 layer of the VGG-F are classified by a linear SVM.
发表于 2025-3-29 15:01:16 | 显示全部楼层
Clustering Quality Measures for Point Cloud Segmentation Tasksnts results showed that newly elaborated measures provide a researcher with distinguished information about segmentation output. This paper introduces recommendations for quality measures adjustment to a particular planar fragments detection problem, what implies contributions for effective development of such methods.
发表于 2025-3-29 16:37:21 | 显示全部楼层
0302-9743 ge processing, medical image analysis, motion analysis and tracking, security and protection, pattern recognition and new concepts in classification.. .978-3-030-00691-4978-3-030-00692-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-29 21:10:48 | 显示全部楼层
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发表于 2025-3-30 06:25:31 | 显示全部楼层
Building and Using C Cross-Compilers, the proposed algorithm considerably outperforms BoW algorithms, which are frequently used in loop-closure. It also outperforms an algorithm in which features extracted by FC-6 layer of the VGG-F are classified by a linear SVM.
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