ObjectMatch: Robust Registration using Canonical Object Correspondences
Can Gümeli, Angela Dai, Matthias Nießner
2023年份
6顶会引用
摘要
Figure 1 . Modern camera pose estimation relies on feature matching between overlapping frames -in this work, we present ObjectMatch to find correspondences between frames with little or no overlap by predicting semantic mappings through canonical object correspondences. The images above share no direct overlap, yet our method establishes indirect correspondences, thus enabling a successful registration.
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引用它的顶会 Paper6
- ConceptPose: Training-Free Zero-Shot Object Pose Estimation using Concept VectorsLiming Kuang, Yordanka Velikova, Mahdi Saleh, Jan-Nico Zaech 等CVPR 2026 · 被引用 5 次
- X-SLAM: Scalable Dense SLAM for Task-aware Optimization using CSFDZhexi Peng, Yin Yang, Tianjia Shao, Chenfanfu Jiang 等SIGGRAPH 2024 · 被引用 3 次
- CoordAR: One-Reference 6D Pose Estimation of Novel Objects via Autoregressive Coordinate Map GenerationDexin Zuo, Ang Li, Wei Wang, Wenxian Yu 等AAAI 2026
- Any6D: Model-free 6D Pose Estimation of Novel ObjectsTaeyeop Lee, Bowen Wen, Minjun Kang, Gyuree Kang 等CVPR 2025
- One2Any: One-Reference 6D Pose Estimation for Any ObjectMengya Liu, Siyuan Li, Ajad Chhatkuli, Prune Truong 等CVPR 2025
它引用的顶会 Paper14
- iMAP: Implicit Mapping and Positioning in Real-TimeEdgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. DavisonICCV 2021 · 被引用 834 次
- Fully Convolutional Geometric FeaturesChristopher B. Choy, Jaesik Park, Vladlen KoltunICCV 2019 · 被引用 807 次
- NICE-SLAM: Neural Implicit Scalable Encoding for SLAMZihan Zhu, Songyou Peng, Viktor Larsson, Weiwei Xu 等CVPR 2022 · 被引用 720 次
- Geometric Transformer for Fast and Robust Point Cloud RegistrationZheng Qin, Hao Yu, Changjian Wang, Yulan Guo 等CVPR 2022 · 被引用 436 次
- End-to-End CAD Model Retrieval and 9DoF Alignment in 3D ScansArmen Avetisyan, Angela Dai, Matthias NießnerICCV 2019 · 被引用 88 次
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