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pro vyhledávání: '"Visual Place Recognition"'
Autor:
Gu, Qiwen, Wang, Xufei, Zhang, Fenglin, Zhao, Junqiao, Tao, Siyue, Ye, Chen, Feng, Tiantian, Jiang, Changjun
Visual Place Recognition (VPR) aims to robustly identify locations by leveraging image retrieval based on descriptors encoded from environmental images. However, drastic appearance changes of images captured from different viewpoints at the same loca
Externí odkaz:
http://arxiv.org/abs/2412.09199
Autor:
Ismagilov, Timur, Ferrarini, Bruno, Milford, Michael, Nguyen, Tan Viet Tuyen, Ramchurn, SD, Ehsan, Shoaib
Visual Place Recognition (VPR) in mobile robotics enables robots to localize themselves by recognizing previously visited locations using visual data. While the reliability of VPR methods has been extensively studied under conditions such as changes
Externí odkaz:
http://arxiv.org/abs/2412.07751
Visual Place Recognition (VPR) enables coarse localization by comparing query images to a reference database of geo-tagged images. Recent breakthroughs in deep learning architectures and training regimes have led to methods with improved robustness t
Externí odkaz:
http://arxiv.org/abs/2412.06153
Visual place recognition (VPR) aims to determine the general geographical location of a query image by retrieving visually similar images from a large geo-tagged database. To obtain a global representation for each place image, most approaches typica
Externí odkaz:
http://arxiv.org/abs/2412.00784
Autor:
Gasteratos, Antonios, Tsintotas, Konstantinos A., Fischer, Tobias, Aloimonos, Yiannis, Milford, Michael
Publikováno v:
40th Anniversary of the IEEE Conference on Robotics and Automation (ICRA@40), Rotterdam, Netherlands, September 23-26, 2024
Visual-based recognition, e.g., image classification, object detection, etc., is a long-standing challenge in computer vision and robotics communities. Concerning the roboticists, since the knowledge of the environment is a prerequisite for complex n
Externí odkaz:
http://arxiv.org/abs/2411.11481
Autor:
Pivoňka, Tomáš, Přeučil, Libor
Re-ranking is the second stage of a visual place recognition task, in which the system chooses the best-matching images from a pre-selected subset of candidates. Model-free approaches compute the image pair similarity based on a spatial comparison of
Externí odkaz:
http://arxiv.org/abs/2410.18573
Accurately recognizing a revisited place is crucial for embodied agents to localize and navigate. This requires visual representations to be distinct, despite strong variations in camera viewpoint and scene appearance. Existing visual place recogniti
Externí odkaz:
http://arxiv.org/abs/2409.18049
Visual place recognition (VPR) enables autonomous robots to identify previously visited locations, which contributes to tasks like simultaneous localization and mapping (SLAM). VPR faces challenges such as accurate image neighbor retrieval and appear
Externí odkaz:
http://arxiv.org/abs/2410.21615
Autor:
Hausler, Stephen, Moghadam, Peyman
In this work we propose a novel joint training method for Visual Place Recognition (VPR), which simultaneously learns a global descriptor and a pair classifier for re-ranking. The pair classifier can predict whether a given pair of images are from th
Externí odkaz:
http://arxiv.org/abs/2410.06614
Visual Place Recognition (VPR) is a crucial component of many visual localization pipelines for embodied agents. VPR is often formulated as an image retrieval task aimed at jointly learning local features and an aggregation method. The current state-
Externí odkaz:
http://arxiv.org/abs/2409.19293