https://github.com/elderlab-york-university/onlinefr
공식 코드A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation
Papers with Code 아카이브
Camera Calibration
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Camera calibration involves estimating camera parameters(including camera intrinsics and extrinsics) to infer geometric features from captured sequences, which is crucial for computer vision and robotics. Driven by different architectures of the neural network, the researchers have developed two main paradigms for learning-based camera calibration and its applications. One is Regression-based Calibration，Reconstruction-based Calibration is another.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/eleboss/ebr
공식 코드https://github.com/evs-broadcast/BroadTrack
공식 코드https://github.com/gabriel-vanzandycke/deepsport
공식 코드Context-Aware 3D Object Localization from Single Calibrated Images: A Study of Basketballs
https://github.com/gfxdisp/hdrutils
공식 코드Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration
https://github.com/gjgjh/ptz-calib
공식 코드https://github.com/graphdeco-inria/gaussian-splatting
공식 코드3D Gaussian Splatting for Real-Time Radiance Field Rendering
https://github.com/hahnec/plenopticam
공식 코드https://github.com/hanbyel0105/CamDistHumanPose3D
공식 코드Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning
https://github.com/hengli/camodocal
공식 코드https://github.com/hvzzzz/vehicle_trajectory_dataset
공식 코드I see you: A Vehicle-Pedestrian Interaction Dataset from Traffic Surveillance Cameras
https://github.com/jamestang1998/cascalib
공식 코드CasCalib: Cascaded Calibration for Motion Capture from Sparse Unsynchronized Cameras
https://github.com/javrtg/anycalib
공식 코드AnyCalib: On-Manifold Learning for Model-Agnostic Single-View Camera Calibration
https://github.com/jiayouqin/h-splitter
공식 코드Motor Focus: Fast Ego-Motion Prediction for Assistive Visual Navigation
https://github.com/jinlinyi/PerspectiveFields
공식 코드https://github.com/junyuandeng/dm-calib
공식 코드Boost 3D Reconstruction using Diffusion-based Monocular Camera Calibration
https://github.com/jwlee-vcl/ctrl-c
공식 코드CTRL-C: Camera calibration TRansformer with Line-Classification
https://github.com/jwlee-vcl/gpnet
공식 코드https://github.com/kangliao929/awesome-deep-camera-calibration
공식 코드https://github.com/kev-in-ta/l2e
공식 코드L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras
https://github.com/kocurvik/deep_vp
공식 코드Traffic Camera Calibration via Vehicle Vanishing Point Detection
https://github.com/kornia/kornia
공식 코드Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/lRomul/ball-action-spotting
공식 코드https://github.com/liangsk98/collimatorcalibration
공식 코드https://github.com/lood339/two_point_calib
공식 코드https://github.com/lvsn/rgbde_tracking
공식 코드RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking
https://github.com/masterhow/e-3dgs
공식 코드https://github.com/mguti97/no-bells-just-whistles
공식 코드PnLCalib: Sports Field Registration via Points and Lines Optimization
https://github.com/mguti97/pnlcalib
공식 코드PnLCalib: Sports Field Registration via Points and Lines Optimization
https://github.com/mguti97/soccernet-v3d
공식 코드SoccerNet-v3D: Leveraging Sports Broadcast Replays for 3D Scene Understanding
https://github.com/mkocabas/SPEC
공식 코드https://github.com/naver/dust3r
공식 코드https://github.com/naver/must3r
공식 코드https://github.com/nicralph213/icns_noralph_event_based-space_imaging-speed_dataset
공식 코드https://github.com/nie-lang/Multi-Grid-Deep-Homography
공식 코드Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation
https://github.com/nycu-acm/rc-autocalib
공식 코드RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.