• DAISY

  • Referenced in 54 articles [sw09059]
  • considered a prerequisite for well-posed estimation, since it concerns the possibility of recovering uniquely...
  • HumanEva

  • Referenced in 25 articles [sw15489]
  • research on articulated human motion and pose estimation has progressed rapidly in the last ... evaluating both 2D and 3D pose estimation and tracking algorithms. We also describe a baseline ... development of new articulated motion and pose estimation algorithms, will provide a baseline ... state of the art in human pose estimation and tracking...
  • SBA

  • Referenced in 24 articles [sw05242]
  • camera matrix) parameter estimates. Provided with initial estimates, BA simultaneously refines motion and structure ... intrinsically calibrated cameras, exterior orientation (i.e. pose) estimation from fixed 3D points, refinement of intrinsic...
  • FastSLAM

  • Referenced in 63 articles [sw13538]
  • algorithm that recursively estimates the full posterior distribution over robot pose and landmark locations...
  • LSD-SLAM

  • Referenced in 11 articles [sw18885]
  • environment. Along with highly accurate pose estimation based on direct image alignment, the 3D environment ... reconstructed in real-time as pose-graph of keyframes with associated semi-dense depth maps...
  • OpenFace

  • Referenced in 9 articles [sw32734]
  • more accurate facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze...
  • OpenPose

  • Referenced in 6 articles [sw39256]
  • OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. Realtime multi-person ... pose estimation is a key component in enabling machines to have an understanding of people ... realtime approach to detect the 2D pose of multiple people in an image. The proposed ... previous work, PAFs and body part location estimation were refined simultaneously across training stages...
  • SoftPOSIT

  • Referenced in 8 articles [sw28187]
  • correspondence determination. The problem of pose estimation arises in many areas of computer vision, including ... algorithm, called SoftPOSIT, for determining the pose of a 3D object from a single...
  • DeeperCut

  • Referenced in 3 articles [sw27574]
  • Deeper, Stronger, and Faster Multi-Person Pose Estimation Model. The goal of this paper ... state-of-the-art of articulated pose estimation in scenes with multiple people. To that ... single-person and two multi-person pose estimation benchmarks. The proposed approach significantly outperforms best ... known multi-person pose estimation results while demonstrating competitive performance on the task of single...
  • DeepPose

  • Referenced in 3 articles [sw42758]
  • DeepPose: Human Pose Estimation via Deep Neural Networks. We propose a method for human pose ... Deep Neural Networks (DNNs). The pose estimation is formulated as a DNN-based regression problem ... regressors which results in high precision pose estimates. The approach has the advantage of reasoning...
  • EPnP

  • Referenced in 13 articles [sw29721]
  • problem—the estimation of the pose of a calibrated camera from ... control points. The problem then reduces to estimating the coordinates of these control points...
  • PersonLab

  • Referenced in 3 articles [sw39072]
  • PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding ... approach for the tasks of pose estimation and instance segmentation of people in multi-person ... allowing us to group keypoints into person pose instances. Further, we propose a part-induced ... significantly outperforming all previous bottom-up pose estimation systems. We are also the first bottom...
  • DensePose

  • Referenced in 3 articles [sw39259]
  • DensePose: Dense Human Pose Estimation In The Wild. In this work, we establish dense correspondences ... refer to as dense human pose estimation. We first gather dense correspondences for 50K persons...
  • DeepLabCut

  • Referenced in 3 articles [sw39263]
  • DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Quantifying behavior ... present an efficient method for markerless pose estimation based on transfer learning with deep neural...
  • RMPE

  • Referenced in 2 articles [sw39255]
  • RMPE: Regional Multi-person Pose Estimation. Multi-person pose estimation in the wild is challenging ... cause failures for a single-person pose estimator (SPPE), especially for methods that solely depend ... propose a novel regional multi-person pose estimation (RMPE) framework to facilitate pose estimation ... components: Symmetric Spatial Transformer Network (SSTN), Parametric Pose Non-Maximum-Suppression (NMS), and Pose-Guided...
  • MultiPoseNet

  • Referenced in 2 articles [sw39258]
  • MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network. In this paper, we present ... novel bottom-up multi-person pose estimation architecture that combines a multi-task model with ... detection, keypoint detection, person segmentation and pose estimation problems. The novel assignment method is implemented ... COCO keypoints dataset, our pose estimation method outperforms all previous bottom-up methods both...
  • HigherHRNet

  • Referenced in 2 articles [sw39260]
  • Representation Learning for Bottom-Up Human Pose Estimation. Bottom-up human pose estimation methods have ... HigherHRNet: a novel bottom-up human pose estimation method for learning scale-aware representations using ... challenge in bottom-up multi-person pose estimation and localize keypoints more precisely, especially...
  • Hand PointNet

  • Referenced in 2 articles [sw42730]
  • Hand PointNet: 3D Hand Pose Estimation Using Point Sets. Convolutional Neural Network (CNN) has shown ... promising results for 3D hand pose estimation in depth images. Different from existing CNN-based ... hand pose estimation methods that take either 2D images or 3D volumes as the input ... visible surface of the hand for pose regression. Taking the normalized point cloud...
  • VIBE

  • Referenced in 2 articles [sw40787]
  • Video Inference for Human Body Pose and Shape Estimation. Human motion is fundamental to understanding ... progress on single-image 3D pose and shape estimation, existing video-based state ... propose Video Inference for Body Pose and Shape Estimation (VIBE), which makes ... effectiveness of VIBE on challenging 3D pose estimation datasets, achieving state-of-the-art performance...
  • SE-Sync

  • Referenced in 12 articles [sw40678]
  • special Euclidean group: estimate the values of a set of poses given ... typically formulated as a nonconvex maximum-likelihood estimation that is computationally hard to solve ... thereby certifying the optimality of the recovered estimate. We develop a specialized optimization scheme ... variety of simulated and real-world pose-graph SLAM datasets shows that SE-Sync...