fast descriptor

We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covar...

fast descriptor

We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covariance of d-features, e.g., the ... ,ABSTRACT. A very simple but efficient feature descriptor is proposed for image matching/registration applications where invariance is not important.

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Python(以流行電視劇“Monty Python 的飛行馬戲團”命名)是一種年輕而且廣泛使用的面向對象編程語言,它是在 20 世紀 90 年代初期開發的,在 2000 年代得到了很大的普及,現代 Web 2.0 的運動帶來了許多靈活的在線服務的開發,這些服務都是用這種偉大的語言提供的這是非常容易學習,但功能非常強大,可用於創建緊湊,但強大的應用程序.8997423 選擇版本:Python 3.... Python 軟體介紹

fast descriptor 相關參考資料
A Fast Descriptor for Detection and Classification - Mitsubishi Electric ...

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com. Region Covariance: A Fast Descriptor for Detection and. Classification. Oncel Tuzel ...

http://www.merl.com

Region Covariance: A Fast Descriptor for ... - Semantic Scholar

We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covariance of d-features, e.g., the ...

https://www.semanticscholar.or

A Simple and Efficient Feature Descriptor for Fast Matching

ABSTRACT. A very simple but efficient feature descriptor is proposed for image matching/registration applications where invariance is not important.

http://www.cb.uu.se

学习OpenCV——Fast检测与Surf&Brief匹配(娱乐) - 小熊不去实验室 ...

这几天一直徘徊在Fast,Surf,Shift,Brief,ORB几种特征检测算法之中,被搞 ... 是Match,Fast检测的特征点,发现无法提取descriptor,⊙﹏⊙b汗!

https://blog.csdn.net

Region Covariance: A Fast Descriptor for Detection ... - Springer Link

We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covariance of d-features, e.g., the ...

https://link.springer.com

FAST Algorithm for Corner Detection — OpenCV 3.0.0-dev ...

But when looking from a real-time application point of view, they are not fast enough. One best example would be SLAM (Simultaneous Localization and ...

https://docs.opencv.org

Feature Detection and Description - OpenCV

There comes the FAST algorithm, which is really "FAST". BRIEF (Binary Robust Independent Elementary Features). SIFT uses a feature descriptor with 128 ...

https://docs.opencv.org

Oriented FAST and rotated BRIEF - Wikipedia

Oriented FAST and rotated BRIEF (ORB) is a fast robust local feature detector, first presented by Ethan Rublee et al. in 2011, that can be used in computer vision tasks like object recognition or 3D r...

https://en.wikipedia.org

Features from accelerated segment test - Wikipedia

Features from accelerated segment test (FAST) is a corner detection method, which could be used to extract feature points and later used to track and map ...

https://en.wikipedia.org

ORB (Oriented FAST and Rotated BRIEF) — OpenCV 3.0.0-dev ...

ORB is basically a fusion of FAST keypoint detector and BRIEF descriptor with many modifications to enhance the performance. First it use FAST to find ...

https://docs.opencv.org