114 citations · 115 across the 3 of their papers we have counts for
4 papers
BEBLID: Boosted efficient binary local image descriptor
Iago Suárez, Ghesn Sfeir, José M. Buenaposada +1
Efficient matching of local image features is a fundamental task in many computer vision applications. However, the real-time performance of top matching algorithms is compromised…
GlueStick: Robust Image Matching by Sticking Points and Lines Together
Rémi Pautrat, Iago Suárez, Yifan Yu +2
Line segments are powerful features complementary to points. They offer structural cues, robust to drastic viewpoint and illumination changes, and can be present even in texture-le…
Revisiting Binary Local Image Description for Resource Limited Devices
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 r…
ELSED: Enhanced Line SEgment Drawing
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. Its speed is crucial for real-time application…