桶去微染 发表于 2025-3-28 16:38:59
http://reply.papertrans.cn/24/2338/233709/233709_41.png滔滔不绝的人 发表于 2025-3-28 19:19:05
http://reply.papertrans.cn/24/2338/233709/233709_42.png誓言 发表于 2025-3-29 01:38:41
Vehicles Recognition Using Fuzzy Descriptors of Image Segmentsion of vehicles recorded in image data. The description takes into account selected geometrical properties and shape coefficients determined for segments of reference image (vehicle model). The proposed method was implemented using reasoning system with fuzzy rules. A vehicles recognition algorithmconformity 发表于 2025-3-29 05:00:14
http://reply.papertrans.cn/24/2338/233709/233709_44.pngdeciduous 发表于 2025-3-29 10:06:19
The Comparison of Normal Bayes and SVM Classifiers in the Context of Face Shape Recognitionation approaches have been used: the Normal Bayes Classifier, the Type 1 Linear Support Vector Machine (LSVM) and the type 2 LSVM with a soft margin. The influence of the shape extraction algorithm parameters on the classification efficiency has been investigated. The experiments were conducted on aplasma 发表于 2025-3-29 11:55:04
Detection of Interest Points on 3D Data: Extending the Harris Operatored by the need of general, robust characterization of a complexity of the mesh fragment, to be used for mesh segmentation and description methods. We analyze the reasoning behind traditional Harris operator for 2D images and propose several possible extensions to 3D data. We investigate their pe江湖郎中 发表于 2025-3-29 18:37:47
http://reply.papertrans.cn/24/2338/233709/233709_47.png惩罚 发表于 2025-3-29 21:35:14
A Comparison Framework for Spectrogram Track Detection Algorithmsks in spectrograms. There is no standard test database which is carefully tailored to test different aspects of an algorithm. This naturally hinders the ability to perform comparisons between a developing algorithm and those which exist in the literature. The method presented in this paper will allo移植 发表于 2025-3-30 00:11:59
http://reply.papertrans.cn/24/2338/233709/233709_49.pngerythema 发表于 2025-3-30 04:42:12
Morphological Analysis of Binary Scene in APR Integrated Environmenthe aim of the method is to find object on the scene and then to describe theirs basic features like edges, neighbors and surface . The algorithm construction gives benefits in terms speed as well as to computation costs, at the same time being capable of presenting number of attributes values for