{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/fishnet-a-camera-localizer-using-deep","title":"FishNet: A Camera Localizer using Deep Recurrent Networks","arxiv_id":"1904.09722","date":"2019-04-22","proceeding":null,"authors":["Hsin-I Chen","Sebastian Agethen","Chiamin Wu","Winston Hsu","Bing-Yu Chen"],"abstract":"This paper proposes a robust localization system that employs deep learning\nfor better scene representation, and enhances the accuracy of 6-DOF camera pose\nestimation. Inspired by the fact that global scene structure can be revealed by\nwide field-of-view, we leverage the large overlap of a fisheye camera between\nadjacent frames, and the powerful high-level feature representations of deep\nlearning. Our main contribution is the novel network architecture that extracts\nboth temporal and spatial information using a Recurrent Neural Network.\nSpecifically, we propose a novel pose regularization term combined with LSTM.\nThis leads to smoother pose estimation, especially for large outdoor scenery.\nPromising experimental results on three benchmark datasets manifest the\neffectiveness of the proposed approach.","url_abs":"http://arxiv.org/abs/1904.09722v1","url_pdf":"http://arxiv.org/pdf/1904.09722v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"fishnet-a-camera-localizer-using-deep","repo_url":"https://github.com/2023-MindSpore-1/ms-code-214/tree/main/fishnet99","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"fishnet-a-camera-localizer-using-deep","repo_url":"https://github.com/2023-MindSpore-4/Code10/tree/main/fishnet99","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"fishnet-a-camera-localizer-using-deep","repo_url":"https://github.com/MindSpore-paper-code-3/code10/tree/main/fishnet99","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[{"task_slug":"camera-pose-estimation","task_name":"Camera Pose Estimation"},{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"}],"methods":[{"method_slug":"lstm","method_name":"LSTM"},{"method_slug":"sigmoid-activation","method_name":"Sigmoid Activation"},{"method_slug":"tanh-activation","method_name":"Tanh Activation"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}