Results 51 to 60 of about 2,947,234 (236)
Rethinking of learning-based 3D keypoints detection for large-scale point clouds registration
International Journal of Applied Earth Observations and Geoinformation, 2022 The main solution for large-scale point clouds registration is to first obtain a set of matched 3D keypoint pairs and then accomplish the point cloud registration task based on these matched keypoint pairs.
ShaoCong Liu +7 more
doaj +1 more source
Human keypoint detection for close proximity human-robot interaction [PDF]
, 2022 We study the performance of state-of-the-art human keypoint detectors in the context of close proximity human-robot interaction. The detection in this scenario is specific in that only a subset of body parts such as hands and torso are in the field of ...
Rozlivek, Jakub +7 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Keypoint detection results on three face scans of the same face.
, 2014 Keypoint detection results on three face scans of the same face.
Zhixuan Ding (552986) +4 more
core +1 more source
Advanced Intelligent Systems, EarlyView.Origami turns a single silicone chamber into three different soft fluidic actuators. Crease angles alone decide whether it elongates, bends, or twists, and the fully folded chambers are cast monolithically in one day. Below 15 kPa, they reach 268% axial stretch, 72° bending, and 55° twist—no strain‐limiting layers, no rigid reinforcements, no vacuum ...
Alexia Le Gall +4 more
wiley +1 more source
Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation
Advanced Intelligent Systems, EarlyView.Robot arms lifting a large object face a trade‐off: centralized controllers explode in parameters, while decentralized ones cannot coordinate. A GNN resolves this—each arm runs its own network but acts on the full team state, achieving centralized‐level coordination with decentralized execution. Trained across team sizes, a single policy scales to four‐
Tong Chen +3 more
wiley +1 more source
Keypoint regression strategy and angle loss based YOLO for object detection
Scientific Reports, 2023 The YOLOv4 approach has gained significant popularity in industrial object detection due to its impressive real-time processing speed and relatively favorable accuracy.
Xiuling Wang +4 more
doaj +1 more source
Sensors, 2022 The adoption of computer vision pose estimation approaches, used to identify keypoint locations which are intended to reflect the necessary anatomical landmarks relied upon by biomechanists for musculoskeletal modelling, has gained increasing traction in
Marion Mundt +3 more
doaj +1 more source
Kinematic‐Aware Diffusion Model Correction for Human Motion Generation via Pose Transfer
Advanced Intelligent Systems, EarlyView.Overall architecture of the proposed video kinematic pose correction pipeline. The framework integrates diffusion‐based video generation, multi‐estimator skeleton extraction, temporal Kalman smoothing, biomechanical constraint enforcement, and pose‐conditioned frame regeneration via Pose‐guided Image Synthesis and Editing. This paper presents Kinematic‐
Alaa Abdullah Albaghdadi +1 more
wiley +1 more source
Descriptive Attributes for Language-Based Object Keypoint Detection
, 2023 Multimodal vision and language (VL) models have recently shown strong performance in phrase grounding and object detection for both zero-shot and finetuned cases. We adapt a VL model (GLIP) for keypoint detection and evaluate on NABirds keypoints.
Weinman, Jerod +2 more
core +1 more source