Search Results for author: Iago Suárez

Found 4 papers, 4 papers with code

BEBLID: Boosted efficient binary local image descriptor

1 code implementation7 Feb 2024 Iago Suárez, Ghesn Sfeir, José M. Buenaposada, Luis Baumela

Efficient matching of local image features is a fundamental task in many computer vision applications.

Computational Efficiency Retrieval

Revisiting Binary Local Image Description for Resource Limited Devices

1 code implementation18 Aug 2021 Iago Suárez, José M. Buenaposada, Luis Baumela

The advent of a panoply of resource limited devices opens up new challenges in the design of computer vision algorithms with a clear compromise between accuracy and computational requirements.

ELSED: Enhanced Line SEgment Drawing

1 code implementation6 Aug 2021 Iago Suárez, José M. Buenaposada, Luis Baumela

Detecting local features, such as corners, segments or blobs, is the first step in the pipeline of many Computer Vision applications.

Line Detection Line Segment Detection

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