大暴雨 发表于 2025-3-28 17:58:59
K. Y. Jiang,X. L. Yang,Y. T. Yuan,L. S. Mao,D. P. Yangmathematical background needed for variational methods.WrittThis book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, addressHAIRY 发表于 2025-3-28 20:21:35
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F. B. Waanders,S. W. Vorster,A. J. Geldenhuysn art to a science, and to speed up the design process for recognition systems. In this chapter, we address the performance—prediction problem in the context of a common recognition task, where both model objects and scene data are represented by locations of 2D point features. The criterion used fo详细目录 发表于 2025-3-29 13:13:08
A. C. Agudelo,J. F. Marco,J. R. Gancedo,G. A. Pérez-Alcàzarrum accessible for practical imaging. Applications are emerging, notably in the biomedical domain. In this chapter the technique of terahertz-pulsed imaging is introduced in some detail. The need for special computer vision methods, which arises from the use of pulses of radiation and the acquisitio牵索 发表于 2025-3-29 17:15:35
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Rama Balasubramanian,D. C. Cook,M. Yamashitang via deep learning and neural networks.Offers learning assBased on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods and deep learning. With over 800 essential referDECRY 发表于 2025-3-30 01:51:08
Saburo Nasu,Takayuki Kamimura,Takashi Tazaking via deep learning and neural networks.Offers learning assBased on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods and deep learning. With over 800 essential refer制定法律 发表于 2025-3-30 07:57:49
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