Retrieval Robust to Object Motion Blur

arXiv:2404.18025v1 Announce Type: new
Abstract: Moving objects are frequently seen in daily life and usually appear blurred in images due to their motion. While general object retrieval is a widely explored area in computer vision, it primarily focuses on sharp and static objects, and retrieval of motion-blurred objects in large image collections remains unexplored. We propose a method for object retrieval in images that are affected by motion blur. The proposed method learns a robust representation capable of matching blurred …

abstract arxiv computer computer vision cs.cv daily general image images life moving object objects retrieval robust type vision while