cessation 发表于 2025-3-21 19:16:12

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芭蕾舞女演员 发表于 2025-3-21 21:06:41

Book 2015n this area. The goal of this effort is to let readers know what are the most popular and useful methods in the current, what are the advantages and the disadvantages of these methods, which kind of methods is best suitable for their problems or applications, and what is the future of this area. Wha

开头 发表于 2025-3-22 01:01:37

Intensity Order-Based Local Descriptors,framework by intensity order-based pooling. Then, a local intensity order pattern (LIOP) and how it is used in this framework are introduced. Finally, we demonstrate how we can design a binary descriptor by using the ordinal information in the local image patch.

onlooker 发表于 2025-3-22 07:14:42

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arrogant 发表于 2025-3-22 11:55:28

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背书 发表于 2025-3-22 16:04:58

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骑师 发表于 2025-3-22 20:16:17

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责难 发表于 2025-3-23 00:37:21

Bin Fan,Zhenhua Wang,Fuchao WuMaximizes reader insights into local image description, both on classical methods and the state-of-the-art ones.Broadens your understanding on the development of this area and supplies you the most pr

demote 发表于 2025-3-23 02:15:35

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adj忧郁的 发表于 2025-3-23 09:09:24

Visual Applications,stitch, image retrieval, and localization etc. to name a few. In this chapter, we will introduce some of them, and show how a robust and discriminative descriptor is used in these specific applications.
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查看完整版本: Titlebook: Local Image Descriptor: Modern Approaches; Bin Fan,Zhenhua Wang,Fuchao Wu Book 2015 The Author(s) 2015 Local feature.Binary descriptor.Com