{"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/relative-camera-pose-estimation-using","title":"Relative Camera Pose Estimation Using Convolutional Neural Networks","arxiv_id":"1702.01381","date":"2017-02-05","proceeding":null,"authors":["Iaroslav Melekhov","Juha Ylioinas","Juho Kannala","Esa Rahtu"],"abstract":"This paper presents a convolutional neural network based approach for\nestimating the relative pose between two cameras. The proposed network takes\nRGB images from both cameras as input and directly produces the relative\nrotation and translation as output. The system is trained in an end-to-end\nmanner utilising transfer learning from a large scale classification dataset.\nThe introduced approach is compared with widely used local feature based\nmethods (SURF, ORB) and the results indicate a clear improvement over the\nbaseline. In addition, a variant of the proposed architecture containing a\nspatial pyramid pooling (SPP) layer is evaluated and shown to further improve\nthe performance.","url_abs":"http://arxiv.org/abs/1702.01381v3","url_pdf":"http://arxiv.org/pdf/1702.01381v3.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":"relative-camera-pose-estimation-using","repo_url":"https://github.com/AaltoVision/relativeCameraPose","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"camera-pose-estimation","task_name":"Camera Pose Estimation"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1702.01381","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}