Papers with Code 아카이브
Camera Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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Camera pose estimation is a crucial task in computer vision and robotics that involves determining the position and orientation (pose) of a camera relative to a given reference frame. This task is essential for various applications, such as augmented reality, 3D reconstruction, SLAM, and autonomous navigation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wuxiaolang/Cube_SLAM_wu
https://github.com/xlearning-scu/2023-iccv-common
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/yijie0710/GeoNet_pytorch
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
https://github.com/yuansun-xjtu/icomma
iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and Matching
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.