Results 81 to 90 of about 3,617 (191)

Enhanced real-time 6d pose estimation for automatic recovery of in-flight UAVs using distance-aware keypoint heatmaps

Scientific Reports
Unmanned Aerial Vehicles (UAVs) play crucial roles across various fields but face significant challenges when control is lost or securing a safe runway is not feasible.
Mingyu Jeong, Andrew Jaeyong Choi
doaj   +1 more source

Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities

Computer Graphics Forum, EarlyView.
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev, L. Bastian, D. Cao, N. El Amrani, P. Roetzer, V. Ehm, R. Marin, H. Nishizawa, S. Morishima, C. Theobalt, N. Navab, D. Cremers, F. Bernard, Z. Lähner, V. Golyanik   +14 more
wiley   +1 more source

Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles

Computer Graphics Forum, EarlyView.
Abstract Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet and the ground provide crucial insights for understanding and reconstructing human movement. Recent advances in wearable insole devices offer a compelling solution for
J. L. Ponton, E. Alvarado, L. G. Foo, N. Pelechano, C. Andujar, M. Habermann   +5 more
wiley   +1 more source

A Monocular Pose Estimation Framework for Automatic Dragon Fruit Harvesting Using Navel and Stem Keypoints

Horticulturae
Automated fruit harvesting is crucial for alleviating labor shortages and enhancing agricultural productivity. In this context, it is crucial to obtain information on fruit poses before picking in order to avoid damaging the fruit and/or the plant ...
Xing Yang, Liping Bai, Tai Zhang, Rongzhen Wu   +3 more
doaj   +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   +2 more sources

SAGE: Structure‐Aware Generative Video Transitions between Diverse Clips

Computer Graphics Forum, EarlyView.
Abstract Video transitions aim to synthesize intermediate frames between two clips, but naïve approaches such as linear blending introduce artifacts that limit professional use or break temporal coherence. Traditional techniques (cross‐fades, morphing, frame interpolation) and recent generative inbetweening methods can produce high‐quality plausible ...
Mia Kan, Yilin Liu, Niloy J. Mitra
wiley   +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

Geometry‐Aware Alignment and Comparison of Hierarchical Morse Complexes with Applications

Computer Graphics Forum, EarlyView.
Abstract Scalar fields derived from 3D X‐ray CT scans of samples undergoing ex situ processes, such as thermal aging, chemical etching, or mechanical stress, pose unique challenges for characterizing similarities and differences across acquisitions. Typically, a sample A (source) is imaged, removed, and subjected to experimental conditions that alter ...
Aniketh Venkat, Attila Gyulassy, Peer‐Timo Bremer, Valerio Pascucci   +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

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