Results 111 to 120 of about 2,769,981 (233)

GNOCHI: Generative Neural mOdel for Close Human‐Human Interactions

Computer Graphics Forum, EarlyView.
Abstract Creating realistic 3D human‐human interactions in virtual environments is challenging due to the high degrees of freedom in human body and the need for physically accurate poses that do not collide with each other. Traditional methods for humanhuman interaction are based on motion tracking or 3D body reconstruction, but lack generative ...
Gonzalo Gómez‐Nogales, Marc Comino‐Trinidad, Andrés Casado‐Elvira, Dan Casas   +3 more
wiley   +1 more source

CTNet: Multimodal Remote Sensing Image Keypoint Detection and Description for CNN and Transformer Architectures

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keypoint detection and description from multisensor or multimodal images are fundamental to image registration and its downstream tasks. However, nonlinear radiometric differences, illumination variations, and geometric distortions between multimodal ...
Chenke Yue, Yin Zhang, Junhua Yan, Yong Liu, Pengyu Guo   +4 more
doaj   +1 more source

A 3D Surface Matching Method Using Keypoint- Based Covariance Matrix Descriptors

IEEE Access, 2017
A 3D surface is considered one of the most promising tools for representing and recognizing 3D objects. Therefore, 3D surface matching is widely applied to 3D object recognition, retrieval, and so on.
Xiong Fengguang, Han Xie
doaj   +1 more source

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Developmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur, Hamid Abbasi, Sîan A. Williams, Thor F. Besier, Angus J. C. McMorland   +4 more
wiley   +1 more source

3D pose estimation method for tea buds based on keypoint localization and point cloud for robotic picking

Smart Agricultural Technology
Morphological variations in developing tea buds in unstructured tea garden environments pose significant challenges to robotic picking. Therefore, accurate sensing of the spatial pose information of tea buds is essential to enhance robotic efficiency ...
Mengjie Wang, Zhiwei Chen, Hewei Meng, Weijie Peng, Yaping Li, Chunwang Dong   +5 more
doaj   +1 more source

Inter‐Session Repeatability of a Smartphone‐Based Markerless System to Measure Segment Length and Lower‐Limb Kinematics in Patients With End‐Stage Knee Osteoarthritis

Orthopaedic Surgery, EarlyView.
The root mean square deviation (RMSD) across all kinematic variables between the test and retest sessions for walking and sit‐to‐stand. The “Total” RMSD represents the intra‐subject average of the walking and sit‐to‐stand tasks. ABSTRACT Background While kinematic analysis is crucial to characterize multi‐planar functional deficits in end‐stage knee ...
Chunping Ye, Renxin Ding, Junqing Wang, Yong Nie, Kang Li   +4 more
wiley   +1 more source

GLane3D : Detecting Lanes with Graph of 3D Keypoints

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Accurate and efficient lane detection in 3D space is essential for autonomous driving systems, where robust generalization is the foremost requirement for 3D lane detection algorithms. Considering the extensive variation in lane structures worldwide, achieving high generalization capacity is particularly challenging, as algorithms must accurately ...
Halil Ibrahim Öztürk, Muhammet Esat Kalfaoglu, Ozsel Kilinc   +2 more
openaire   +3 more sources

Automatic measurement of rice tiller angle from unmanned aerial vehicle images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Rice (Oryza sativa L.) tiller angle is an important trait that influences plant architecture, canopy light interception, and yield potential. In this study, we proposed a deep learning‐based pipeline for automated measurement of rice tiller angle and plant base width using unmanned aerial vehicle (UAV) imagery.
Tan‐Hanh Pham, Yubin Yang, Jing Zhang, Sanai Li, Stanley Omar P. B. Samonte, Fugen Dou, Darlene Sanchez, Lloyd T. Wilson, Tanumoy Bera, Jing Wang, Kim‐Doang Nguyen   +10 more
wiley   +1 more source

Deep Learning‐Based Quantification of Spontaneous Pain Behaviours in Mice

European Journal of Pain, Volume 30, Issue 9, October 2026.
ABSTRACT Background Accurate evaluation of pain‐related behaviours in rodent models is crucial for elucidating pain mechanisms and assessing the efficacy of novel analgesic compounds. Traditional nociceptive assays primarily measure evoked responses, which have limited translational relevance since spontaneous pain is the predominant symptom in pain ...
Michele Zanoletti, Elisa Bellantoni, Lídia Pombo Gomes, Maria Luiza Quadros dos Santos, Daniel Souza Monteiro de Araújo, Gaetano De Siena, Sabrina Qader Kudsi, Romina Nassini, Marco Laurino, Francesco De Logu   +9 more
wiley   +1 more source

Artificial Intelligence‐Assisted Wireless Handheld Ultrasound for Screening Developmental Dysplasia of the Hip in Infants

Journal of Ultrasound in Medicine, Volume 45, Issue 10, Page 2329-2343, October 2026.
Objectives Ultrasonography is increasingly the preferred method for infant hip screening to enable timely diagnosis and treatment of developmental dysplasia of the hip (DDH). However, its reliance on experienced specialists and bulky equipment limits its application in routine screening, particularly in resource‐limited and remote settings. We aimed to
Dandan Zhang, Simiao Tao, Ping Chen, Jiangtao Wang, Yu Yang, Xiuxiu Zhang, Tieqiang Wang, Hailin Pan, Jiong Chen, Baoying Ye   +9 more
wiley   +1 more source