https://github.com/opencalib/calibanything
공식 코드Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything
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/paroj/pose_calib
공식 코드https://github.com/pengsongyou/CalibrationWizard
공식 코드https://github.com/prakashSidd18/blind_augmentation
공식 코드https://github.com/puzzlepaint/camera_calibration
공식 코드Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve
https://github.com/radar-lab/Lidar_Camera_Automatic_Calibration
공식 코드https://github.com/rando11199/triplet
공식 코드Triplet: Triangle Patchlet for Mesh-Based Inverse Rendering and Scene Parameters Approximation
https://github.com/sebastianjanampa/sofi
공식 코드SOFI: Multi-Scale Deformable Transformer for Camera Calibration with Enhanced Line Queries
https://github.com/shngjz/wildcamera
공식 코드Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
https://github.com/shuyizhou495/robustcalibration
공식 코드https://github.com/soccernet/sn-calibration
공식 코드https://github.com/soccernet/sn-gamestate
공식 코드SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap
https://github.com/soccernet/sn-grounding
공식 코드https://github.com/soccernet/sn-reid
공식 코드https://github.com/soccernet/sn-spotting
공식 코드https://github.com/soccernet/sn-tracking
공식 코드https://github.com/thanif/CPL
공식 코드https://github.com/thanif/Camera-Calibration-through-Camera-Projection-Loss
공식 코드https://github.com/tingtingliao/mvphuman
공식 코드MVP-Human Dataset for 3D Human Avatar Reconstruction from Unconstrained Frames
https://github.com/tobibaum/partialsportsfieldreg_3dhpe
공식 코드Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration
https://github.com/tuxacker/infrastructure_calibration_toolbox
공식 코드Automated Static Camera Calibration with Intelligent Vehicles
https://github.com/tuxacker/semantic_calibration
공식 코드https://github.com/unibas-wolves/mario
공식 코드MARIO: Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPL
https://github.com/uzh-rpg/e2calib
공식 코드https://github.com/vale-salvatelli/sdo-autocal_pub
공식 코드Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning
https://github.com/wangqingyu985/plantstereo
공식 코드PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction
https://github.com/yanconglin/vanishingpoint_houghtransform_gaussiansphere
공식 코드Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection
https://github.com/ylochman/babelcalib
공식 코드BabelCalib: A Universal Approach to Calibrating Central Cameras
https://github.com/youkely/InfrasCal
공식 코드Infrastructure-based Multi-Camera Calibration using Radial Projections
https://github.com/younggyoseo/MV-MWM
공식 코드Multi-View Masked World Models for Visual Robotic Manipulation
https://github.com/yu-frank/PerspectiveCropLayers
공식 코드PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers
https://github.com/yuanhaoguo/circular-camera-calibration
공식 코드Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion
https://github.com/yw0208/W-HMR
공식 코드W-HMR: Monocular Human Mesh Recovery in World Space with Weak-Supervised Calibration
https://github.com/zekunqian/bevsee
공식 코드From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration
https://github.com/zhou13/neurvps
공식 코드NeurVPS: Neural Vanishing Point Scanning via Conic Convolution
https://github.com/zijianhu/traffic_density_estimation
공식 코드Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.