Results 41 to 50 of about 2,947,234 (236)

Facial Keypoints Detection

CoRR, 2017
Detect facial keypoints is a critical element in face recognition. However, there is difficulty to catch keypoints on the face due to complex influences from original images, and there is no guidance to suitable algorithms. In this paper, we study different algorithms that can be applied to locate keyponits.
openaire   +3 more sources

FAst Detection Algorithm for 3D Keypoints (FADA-3K)

IEEE Access, 2020
3D keypoint is widely used for object recognition and pose estimation with a 3D point cloud since it has robustness against measurement noise and occlusion.
Shogo Arai, Nobuaki Fukuchi, Koichi Hashimoto   +2 more
doaj   +1 more source

Accurate Robot Arm Attitude Estimation Based on Multi-View Images and Super-Resolution Keypoint Detection Networks. [PDF]

Sensors (Basel)
Robot arm monitoring is often required in intelligent industrial scenarios. A two-stage method for robot arm attitude estimation based on multi-view images is proposed.
Zhou L, Wang R, Zhang L.
europepmc   +2 more sources

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Pose detection and localization of pineapple fruit picking based on improved litehrnet

Frontiers in Plant Science
To achieve accurate detection of the pineapple fruit picking area and pose under complex backgrounds and varying lighting conditions, this study proposes a pineapple keypoint detection model (LTHRNet) based on an improved LiteHRNet.
Pinlan Chen, Pinlan Chen, Bin Yan, Bin Yan, Ganran Deng, Ganran Deng, Guojie Li, Guojie Li, Zhende Cui, Zhende Cui, Shuang Zheng, Shuang Zheng, Fengguang He, Fengguang He, Ling Li, Ling Li, Xilin Wang, Xilin Wang, Sili Zhou, Sili Zhou, Shuangmei Qin, Shuangmei Qin, Zehua Liu, Zehua Liu, Ye Dai, Ye Dai   +25 more
doaj   +1 more source

Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching [PDF]

Current image-based keypoint detection methods for animal (including human) bodies and faces are generally divided into full-supervised and few-shot class-agnostic approaches. The former typically relies on laborious and time-consuming manual annotations,
Luo, Ping, Shao, Wenqi, Qiao, Yu, Zhang, Kaipeng, Xu, Lumin, Zheng, Nanning, Zhang, Hao, Lai, Shenqi   +7 more
core   +1 more source

Conditional Link Prediction of Category-Implicit Keypoint Detection

, 2021
Keypoints of objects reflect their concise abstractions, while the corresponding connection links (CL) build the skeleton by detecting the intrinsic relations between keypoints.
Fan, Rui, Zechun Liu, Rui Fan, Zhiqiang Shen, Yi-Ge, Ellen, Shen, Zhiqiang, Ellen Yi-Ge, Liu, Zechun   +7 more
core   +1 more source

UC Food Waste: A Multimodal Robotic Perception Dataset for Robust Contaminant Detection in Complex Biowaste Scenes

Advanced Robotics Research, EarlyView.
A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal, James Ireland, David Hinwood, Xing Wang, Min Wang, Damith Herath   +5 more
wiley   +1 more source

Controlled comparative study of YOLOv8-Pose, YOLOv11-Pose, and Detectron2 for vertebrae detection and keypoint estimation.

PLoS ONE
Accurate vertebrae detection with precise keypoint localization is essential for medical image analysis and clinical applications, such as spinal alignment assessment.
Avinash Bansal, Jan Kubíček, Shalini Garg   +2 more
doaj   +1 more source