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Iago Suárez

3 accepted papers

2023

GlueStick: Robust Image Matching by Sticking Points and Lines Together

ICCV 2023poster

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-less areas. However, describing and matching them is more challenging compared to points due to partial occlusions, lack o…

Cited by 74PDFcodeScholar
2021

Revisiting Binary Local Image Description for Resource Limited Devices

RA-L 2021

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. In this paper we present new binary image descriptors that emerge from the application of triplet ranking l

Cited by 19SourcecodeScholar
2018

FSG: A statistical approach to line detection via fast segments grouping

IROS 2018poster

Line extraction is a preliminary step in various visual robotic tasks performed in low textured scenes such as city and indoor settings. Several efficient line segment detection algorithms such as LSD and EDLines have recently emerged. However, the state of the art segment grouping methods are not r…

Cited by 23SourceScholar