Papers 3D Pose Estimation
“3D Pose Estimation” 태그가 달린 논문 422편 · 필터 해제
Sound-based Multi-Person 3D Pose Estimation
Can we recover the 3D poses of multiple people using only sound? This paper presents the first attempt to estimate multi-person 3D poses solely from acoustic signals. Estimating the poses of multiple individuals using ac…
3D Pose EstimationHOME: Robust Hough-space Matching Method for Structured and Textureless Videos
Visual front-ends for robotic localization typically rely on point-based features such as Oriented FAST and Rotated BRIEF (ORB), which frequently fail in structured environments dominated by strong linear structures or t…
Homography Estimation3D Pose EstimationCalTennis: Large Multi-View Tennis Video Dataset and Benchmark of Monocular-to-3D Pose Estimation
The Caltech Tennis Dataset (CalTennis) is a large-scale video benchmark for evaluating monocular-to-3D pose estimation in the wild. CalTennis comprises over 11 million frames (51 hours) of tennis practice and match play …
3D Pose EstimationSPARK: Low Latency Single-Camera 3D Pose Estimation for Autonomous Racing using Keypoints
In autonomous racing, fast detection of other participants' movements is required to plan safe, collision-free trajectories with non-cooperative opponents. LiDAR detection is inherently slower and harder to deploy on edg…
3D Pose EstimationKeypoint DetectionObject TrackingQuantitative Movement Testing: Measuring Chronic Pain Patient Movements from a Single Smartphone Video
Chronic pain diminishes quality of life by decreasing functional ability, yet objectively measuring this functional impact remains challenging in real-world settings. While optical motion capture provides high precision …
3D Pose EstimationSOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models
Measuring structured object understanding in vision foundation models remains challenging due to inconsistent evaluation protocols and limited part-level supervision. Semantic correspondence (SC) evaluates this capabilit…
Semantic correspondence3D Pose EstimationImage MatchingMesh-Aware Epipolar Matching for Multi-View Multi-Person 3D Pose Estimation in Basketball
Multi-view multi-person 3D pose estimation in team sports scenarios remains challenging due to player occlusions, appearance similarity caused by team uniforms, and the scarcity of annotated multi-view data, all of which…
Human Mesh Recovery3D Pose EstimationKeypoint DetectionAIGaitor: Privacy-preserving and cloud-free motion analysis for everyone, using edge computing
Motion capture is the gold standard for measuring human movement, but clinical use remains limited by cost, technical complexity, and privacy concerns. AIGaitor is a privacy-preserving, cloud-free motion analysis system …
3D Pose EstimationMarkerless Motion Capture for Biomechanical Whole-Body Kinematic Estimation in Infants
arly identification of motor impairment in infancy relies on expert visual assessment of spontaneous movement, motivating the development of automated, objective alternatives. One promising approach is using computer vis…
3D Pose EstimationKeypoint DetectionUnsupervised 3D Human Pose Estimation via Conditional Multi-view Ancestral Sampling
We propose a method of estimating a 3D human pose from a single view without 3D supervision. The key to our method is to leverage the 2D diffusion priors of motion diffusion models (MDMs) pre-trained on large 2D human po…
Unsupervised 3D Human Pose Estimation3D Pose EstimationPhase-Separated Complex Hilbert PCA on Markerless 3D Pose Estimation Data: A Global Phase Network and Its Extension to a Continuous Field on the Body Surface
Quantitative analysis of the kinematic chain in sports motion is essential for performance evaluation and injury prevention. Conventional methods such as the kinematic-sequence (KS) and continuous relative phase (CRP) ar…
3D Pose Estimation2D Pre-Training for 3D Pose Estimation
Pre-training is a general method that is used in a range of deep learning tasks. By first training a model on one task, and then further training on the downstream task used for final evaluation, the model is forced to l…
3D Human Pose EstimationComputational Efficiency3D Pose EstimationMuPPet: Multi-person 2D-to-3D Pose Lifting
Multi-person social interactions are inherently built on coherence and relationships among all individuals within the group, making multi-person localization and body pose estimation essential to understanding these soci…
3D Pose Estimation2D Pose EstimationDemo-Pose: Depth-Monocular Modality Fusion For Object Pose Estimation
Object pose estimation is a fundamental task in 3D vision with applications in robotics, AR/VR, and scene understanding. We address the challenge of category-level 9-DoF pose estimation (6D pose + 3Dsize) from RGB-D inpu…
Scene Understanding3D Pose EstimationAG-EgoPose: Leveraging Action-Guided Motion and Kinematic Joint Encoding for Egocentric 3D Pose Estimation
Egocentric 3D human pose estimation remains challenging due to severe perspective distortion, limited body visibility, and complex camera motion inherent in first-person viewpoints. Existing methods typically rely on sin…
3D Human Pose Estimation3D Pose EstimationAction RecognitionShared Representation for 3D Pose Estimation, Action Classification, and Progress Prediction from Tactile Signals
Estimating human pose, classifying actions, and predicting movement progress are essential for human-robot interaction. While vision-based methods suffer from occlusion and privacy concerns in realistic environments, tac…
3D Human Pose EstimationAction ClassificationMulti-Task Learning3D Pose EstimationGesture-Aware Pretraining and Token Fusion for 3D Hand Pose Estimation
Estimating 3D hand pose from monocular RGB images is fundamental for applications in AR/VR, human-computer interaction, and sign language understanding. In this work we focus on a scenario where a discrete set of gesture…
3D Hand Pose Estimation3D Pose EstimationSelf-supervised Domain Adaptation for Visual 3D Pose Estimation of Nano-drone Racing Gates by Enforcing Geometric Consistency
We consider the task of visually estimating the relative pose of a drone racing gate in front of a nano-quadrotor, using a convolutional neural network pre-trained on simulated data to regress the gate's pose. Due to the…
Unsupervised Domain Adaptation3D Pose EstimationFMPose3D: monocular 3D pose estimation via flow matching
Monocular 3D pose estimation is fundamentally ill-posed due to depth ambiguity and occlusions, thereby motivating probabilistic methods that generate multiple plausible 3D pose hypotheses. In particular, diffusion-based …
3D Pose EstimationDroneKey++: A Size Prior-free Method and New Benchmark for Drone 3D Pose Estimation from Sequential Images
Accurate 3D pose estimation of drones is essential for security and surveillance systems. However, existing methods often rely on prior drone information such as physical sizes or 3D meshes. At the same time, current dat…
3D Pose EstimationKeypoint Detection