Oguzhan Ilter — accepted AI-conference papers

2024

Semantically Guided Feature Matching for Visual SLAM

Oguzhan Ilter, Iro Armeni, Marc Pollefeys, Daniel Barath

ICRA 2024poster

We introduce a new algorithm that utilizes semantic information to enhance feature matching in visual SLAM pipelines. The proposed method constructs a high-dimensional semantic descriptor for each detected ORB feature. When integrated with traditional visual ones, these descriptors aid in establishi…

Cited by 1 Source ↗Scholar ↗

2022

Don't Share My Face: Privacy Preserving Inpainting for Visual Localization

Saad Himmi, Oguzhan Ilter, François Pailleau, Roland Siegwart, Berta Bescos, Cesar Cadena

IROS 2022poster

Visual localization is an important task for many robotic and augmented reality applications. As localizing within large scale maps can be memory and computationally de-manding, cloud-based localization services are appealing for developers. However, such services raise important privacy concerns fo…

Cited by 4 Source ↗Scholar ↗