Results 101 to 110 of about 2,947,234 (236)

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

Robo‐Saber: Generating and Simulating Virtual Reality Players

Computer Graphics Forum, EarlyView.
Abstract We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in‐game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR‐23 dataset and apply our framework on the popular VR game Beat Saber.
N. H. Kim, M. J. Liu, J. Lehtinen, P. Hämäläinen, J. F. O'Brien, X. B. Peng   +5 more
wiley   +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

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

Multi-scale cortical keypoint representation for attention and object detection [PDF]

, 2005
Keypoints (junctions) provide important information for focus-of-attention (FoA) and object categorization/recognition. In this paper we analyze the multi-scale keypoint representation, obtained by applying a linear and quasi-continuous scaling to an ...
du Buf, J. M. H., Rodrigues, J. M. F.
core   +1 more source

Improved 2D Keypoint Detection in Out-of-Balance and Fall Situations--combining input rotations and a kinematic model

, 2021
Zwölfer M, Heinrich D, Schindelwig K, et al. Improved 2D Keypoint Detection in Out-of-Balance and Fall Situations--combining input rotations and a kinematic model.
Schindelwig, Kurt, Rhodin, Helge ; https://orcid.org/, Wandt, Bastian, Spoerri, Joerg, Heinrich, Dieter, Nachbauer, Werner, Zwölfer, Michael   +6 more
core  

Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling [PDF]

, 2023
This paper simultaneously addresses three limitations associated with conventional skeleton-based action recognition; skeleton detection and tracking errors, poor variety of the targeted actions, as well as person-wise and frame-wise action recognition ...
Sekii, Taiki, Hachiuma, Ryo, Sato, Fumiaki   +2 more
core  

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

General Keypoint Detection: Few-Shot and Zero-Shot

Keypoint detection is a fundamental research topic in computer vision. Despite extensive research on keypoint detection over the past several decades, existing state-of-the-art deep-learning based methods perform well only on specific object types and ...
Lu, Changsheng
core   +1 more source

Neural Outlier Rejection For Self-Supervised Keypoint Learning

, 2020
Identifying salient points in images is a crucial component for visual odometry, Structure-from-Motion or SLAM algorithms. Recently, several learned keypoint methods have demonstrated compelling performance on challenging benchmarks.
Tang, Jiexiong,, Rares, A., Pillai, S., Guizilini, V., Kim, H.   +4 more
core