EE Seminar: Extreme Rotation In The Wild
Electrical Engineering Systems Seminar
Speaker: Hana Bezalel
M.Sc. student under the supervision of Prof. Hadar Averbuch-Elor
Wednesday, 9th October 2024, at 15:00
Room 011, Kitot Building, Faculty of Engineering
Extreme Rotation In The Wild
Abstract
We present a technique and benchmark dataset for estimating the relative 3D rotation between a pair of Internet images captured in an extreme setting, where the images have limited or non-overlapping field of views.
Prior work targeting extreme rotation estimation assume constrained 3D environments and emulate perspective images by cropping regions from panoramic views. However, real images captured in the wild are highly diverse, exhibiting variation in both appearance and camera intrinsics.
In this work, we propose a Transformer-based method for estimating relative rotations in extreme real-world settings, and contribute the ExtremeLandmarkPairs dataset, assembled from scene-level Internet photo collections.
Our evaluation demonstrates that our approach succeeds in estimating the relative rotations in a wide variety of extreme-view Internet image pairs, outperforming various baselines, including dedicated rotation estimation techniques and contemporary 3D reconstruction methods.
השתתפות בסמינר תיתן קרדיט שמיעה = עפ"י רישום שם מלא + מספר ת.ז. בדף הנוכחות שיועבר באולם במהלך הסמינר
