Results 111 to 120 of about 85,684 (314)
Deformable and articulated 3D reconstruction from monocular video sequences
PhDThis thesis addresses the problem of deformable and articulated structure from motion from monocular uncalibrated video sequences. Structure from motion is defined as the problem of recovering information about the 3D structure of scenes imaged by a
Paladini, Marco
core
Point Cloud Action Recognition Method Based on Masked Self-Supervised Learning [PDF]
Point cloud action recognition methods can provide precise 3D motion monitoring and recognition services, with broad application prospects in fields such as intelligent interaction, intelligent security, and medical health. Existing methods typically use
HE Yundong, LI Ping, PING Chenhao
doaj +1 more source
T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ±
Sarah J. Wright +10 more
wiley +1 more source
Recognizing Human Motion Using Eigensequences [PDF]
This paper presents a novel method for motion recognition. The approach is based on 3D motion data. The captured motion is divided into sequences, which are sets of contiguous postures over time.
Bottino, Andrea Giuseppe +3 more
core
Perancangan dan Penerapan Motion Capture Pada Karakter 3D Dalam Video
Design and Application of Motion Capture on 3D Characters in Video. Motion Capture is a technology that can record the movement of a human model into a 2D or 3D digital realistically.
Frenky, Frenky, Pratama, Jimmy
core
Methods for comparing three-dimensional motion trajectories
Analysis of three-dimensional motion trajectories plays an important role in medicine, sports, robotics, and the entertainment industry. This research aims to compare the performance of the following six trajectory analysis algorithms: Euclidean ...
Tomasz Waldemar Samorow +1 more
doaj +1 more source
3D Motion Reconstruction From 2D Motion Data Using Multimodal Conditional Deep Belief Network
In this paper, we propose a deep generative model named multimodal conditional deep belief network (MCDBN) for cross-modal learning of 3D motion data and their non-injective 2D projections on the image plane.
Muhammad Javad Heydari +1 more
doaj +1 more source
Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection
ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd +118 more
wiley +1 more source
Gestural patterns: a new method of printed textile design using motion capture technology
The aim of this research is to develop a new method, Hybrid Printing System (HPS) to explore digital craft methods to create surface patterns for printed textile design. This novel method of creating ‘handcrafted’ prints is a result of the integration of
Paramanik, D
core
The authors introduce a novel marker‐less multi‐camera setup that allows easy synchronisation between 3D cameras as well as a novel pose estimation method that is calculated on the fly based on the human body being tracked, and thus requires no ...
Nadav Eichler +5 more
doaj +1 more source

