Papers Camera Calibration
“Camera Calibration” 태그가 달린 논문 343편 · 필터 해제
Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping
Accurate 6D object pose estimation is a prerequisite for successfully completing robotic prehensile and non-prehensile manipulation tasks. At present, 6D pose estimation for robotic manipulation generally relies on depth…
6D Pose Estimation6D Pose Estimation using RGBCamera CalibrationDepth Estimation+3Camera Calibration via Circular Patterns: A Comprehensive Framework with Measurement Uncertainty and Unbiased Projection Model
Camera calibration using planar targets has been widely favored, and two types of control points have been mainly considered as measurements: the corners of the checkerboard and the centroid of circles. Since a centroid …
Camera CalibrationZeroVO: Visual Odometry with Minimal Assumptions
We introduce ZeroVO, a novel visual odometry (VO) algorithm that achieves zero-shot generalization across diverse cameras and environments, overcoming limitations in existing methods that depend on predefined or static c…
Autonomous DrivingCamera CalibrationVisual OdometryZero-shot GeneralizationMulti-Spectral Gaussian Splatting with Neural Color Representation
We present MS-Splatting -- a multi-spectral 3D Gaussian Splatting (3DGS) framework that is able to generate multi-view consistent novel views from images of multiple, independent cameras with different spectral domains. …
3DGSCamera CalibrationBEVCALIB: LiDAR-Camera Calibration via Geometry-Guided Bird's-Eye View Representations
Accurate LiDAR-camera calibration is fundamental to fusing multi-modal perception in autonomous driving and robotic systems. Traditional calibration methods require extensive data collection in controlled environments an…
Autonomous DrivingCamera CalibrationDecoderBi-Manual Joint Camera Calibration and Scene Representation
Robot manipulation, especially bimanual manipulation, often requires setting up multiple cameras on multiple robot manipulators. Before robot manipulators can generate motion or even build representations of their enviro…
Camera CalibrationRobot ManipulationSemantic SegmentationRC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network
This paper presents a groundbreaking approach - the first online automatic geometric calibration method for radar and camera systems. Given the significant data sparsity and measurement uncertainty in radar height data, …
Camera Auto-CalibrationCamera CalibrationVolE: A Point-cloud Framework for Food 3D Reconstruction and Volume Estimation
Accurate food volume estimation is crucial for medical nutrition management and health monitoring applications, but current food volume estimation methods are often limited by mononuclear data, leveraging single-purpose …
3D ReconstructionCamera CalibrationNutritionVideo Segmentation+1ClearLines - Camera Calibration from Straight Lines
The problem of calibration from straight lines is fundamental in geometric computer vision, with well-established theoretical foundations. However, its practical applicability remains limited, particularly in real-world …
Camera CalibrationLine DetectionZebrafish Counting Using Event Stream Data
Zebrafish share a high degree of homology with human genes and are commonly used as model organism in biomedical research. For medical laboratories, counting zebrafish is a daily task. Due to the tiny size of zebrafish, …
Camera CalibrationAcquisition of high-quality images for camera calibration in robotics applications via speech prompts
Accurate intrinsic and extrinsic camera calibration can be an important prerequisite for robotic applications that rely on vision as input. While there is ongoing research on enabling camera calibration using natural ima…
Camera CalibrationSpeech-to-TextTAGSoccerNet-v3D: Leveraging Sports Broadcast Replays for 3D Scene Understanding
Sports video analysis is a key domain in computer vision, enabling detailed spatial understanding through multi-view correspondences. In this work, we introduce SoccerNet-v3D and ISSIA-3D, two enhanced and scalable datas…
Camera CalibrationObject LocalizationScene UnderstandingSports AnalyticsTT3D: Table Tennis 3D Reconstruction
Sports analysis requires processing large amounts of data, which is time-consuming and costly. Advancements in neural networks have significantly alleviated this burden, enabling highly accurate ball tracking in sports b…
3D Pose Estimation3D ReconstructionCamera CalibrationPose EstimationImplementation of a Zed 2i Stereo Camera for High-Frequency Shoreline Change and Coastal Elevation Monitoring
The increasing population, thus financial interests, in coastal areas have increased the need to monitor coastal elevation and shoreline change. Though several resources exist to obtain this information, they often lack …
Camera CalibrationGenerating 3D Point CloudsPoint Cloud RegistrationDF-Calib: Targetless LiDAR-Camera Calibration via Depth Flow
Precise LiDAR-camera calibration is crucial for integrating these two sensors into robotic systems to achieve robust perception. In applications like autonomous driving, online targetless calibration enables a prompt sen…
Autonomous DrivingCamera Calibrationcross-modal alignmentvalidRobust LiDAR-Camera Calibration with 2D Gaussian Splatting
LiDAR-camera systems have become increasingly popular in robotics recently. A critical and initial step in integrating the LiDAR and camera data is the calibration of the LiDAR-camera system. Most existing calibration me…
Camera CalibrationAlignDiff: Learning Physically-Grounded Camera Alignment via Diffusion
Accurate camera calibration is a fundamental task for 3D perception, especially when dealing with real-world, in-the-wild environments where complex optical distortions are common. Existing methods often rely on pre-rect…
Camera CalibrationAnyCalib: On-Manifold Learning for Model-Agnostic Single-View Camera Calibration
We present AnyCalib, a method for calibrating the intrinsic parameters of a camera from a single in-the-wild image, that is agnostic to the camera model. Current methods are predominantly tailored to specific camera mode…
Camera CalibrationBlind Augmentation: Calibration-free Camera Distortion Model Estimation for Real-time Mixed-reality Consistency
Real camera footage is subject to noise, motion blur (MB) and depth of field (DoF). In some applications these might be considered distortions to be removed, but in others it is important to model them because it would b…
Camera CalibrationMixed RealityMUSt3R: Multi-view Network for Stereo 3D Reconstruction
DUSt3R introduced a novel paradigm in geometric computer vision by proposing a model that can provide dense and unconstrained Stereo 3D Reconstruction of arbitrary image collections with no prior information about camera…
3D ReconstructionArticlesCamera CalibrationDepth Estimation+1