Results 71 to 80 of about 8,729 (215)

Multiple Target Tracking with Recursive-RANSAC and Machine Learning [PDF]

, 2015
The Recursive-Random Sample Consensus (R-RANSAC) algorithm is a novel multiple target tracker designed to excel in tracking scenarios with high amounts of clutter measurements.
Ingersoll, Kyle
core   +1 more source

Cardiovascular Responses to Natural and Auditory Evoked Slow Waves Predict Post‐Sleep Cardiac Function

Journal of Sleep Research, EarlyView.
ABSTRACT The importance of sleep as a key component of cardiovascular health has been increasingly recognized. Our previous research demonstrated that auditory‐enhanced slow waves increase cardiac function, but the underlying mechanisms behind these beneficial effects remain uncertain. In this study, we examined the influence of two types of slow waves
Giulia Alessandrelli, Stephanie Huwiler, Giulio Bernardi, Manuel Carro‐Domínguez, Fabia Stich, Rossella Sala, Florent Aziri, Anna Trippel, Susanne Markendorf, David Niederseer, Philipp Bohm, Pietro Cerveri, Francesca Siclari, Reto Huber, Nicole Wenderoth, Christian Schmied, Caroline Lustenberger   +16 more
wiley   +1 more source

Centralized RANSAC-Based Point Cloud Registration With Fast Convergence and High Accuracy

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
For point cloud registration, the purpose of this article is to propose a novel centralized random sample consensus (RANSAC) (C-RANSAC) registration with fast convergence and high accuracy.
Kuo-Liang Chung, Wei-Tai Chang
doaj   +1 more source

Three‐dimensional digital quantitative analysis of periodontal and peri‐implant phenotype—A narrative review

Periodontology 2000, EarlyView.
Abstract 3D digital evaluation of the periodontal and peri‐implant tissue, including CBCT, intraoral scanning, optical surface scanning, and ultrasonography, is being used in the clinical arena with increasing frequency. Thus, to validate the utilization of 3D digital analysis for this purpose, a critical evaluation of the reliability of digital ...
Yi Te Lin, Chenshuang Li, Jonathan Korostoff, Joseph P. Fiorellini, Jie Yang, Yu‐Cheng Chang   +5 more
wiley   +1 more source

Improved RANSAC features image-matching method based on SURF

The Journal of Engineering, 2019
For the speed of traditional SIFT algorithm in the feature extraction and matching is slow, the article proposes an improved RANSAC features image matching method based on speeded up robust features (SURF).
Jinliang Liu, FanLiang Bu, FanLiang Bu
doaj   +1 more source

Sound‐offset encoding is related to speech‐in‐noise perception at sentence level in older adults

The Journal of Physiology, EarlyView.
Abstract figure legend Schematic summary of the study investigating sound‐onset and offset sensitivity in the brain of older adults. EEG responses to white‐noise bursts were recorded to examine neural encoding of sound onset and offset during passive listening and active task conditions.
Hasan Colak, Xiaoxuan Guo, Adèle Simon, Ester Benzaquén, William Sedley, Jennifer F. Linden, Timothy D. Griffiths   +6 more
wiley   +1 more source

Reconocimiento de objetos implementando características puntuales y el algoritmo RANSAC [PDF]

, 2019
This paper shows some results of research works: first, the implementation of artificial vision techniques for the treatment of images, such as: filtering, edge detection, morphological operations, location and recognition, and secondly the ...
Correa-Pinzón, Edgar Steven
core   +1 more source

Parallel Improved RANSAC Based on CUDA

工程科学与技术, 2010
:In order to overcome several disadvantages of traditional RANSAC,a parallel improved RANSAC based on CUDA was presented. With guaranteeing the same confidence of the solution as traditional RANSAC，the proposed method parallelly dosed sampling， computed ...
Miao Qing, Fu Zhong Liang, Zhao Xiang Hui, Xu Ke Jia   +3 more
doaj  

Impact of Iridium Crucible Aging on Cz‐YAG Crystal Quality and Process Economy: A Data‐Driven Study

Crystal Research and Technology, Volume 61, Issue 8, August 2026.
Machine learning models trained on CFD‐generated data reveal how iridium crucible aging influences key Czochralski YAG crystal growth outcomes. Interpretable analyses uncover the dominant role of iridium loss and its interactions with process variables, enabling accurate prediction of heating power, interface shape, and the ratio of growth rate to ...
Natasha Dropka, Xiao Le Ye, Kunal Meshram, Debajyoti Biswas, Martin Holena   +4 more
wiley   +1 more source

Mimic Grasping: A Modular and Flexible Programming‐by‐Demonstration Robotic Grasping Solution

Journal of Field Robotics, Volume 43, Issue 5, Page 3175-3191, August 2026.
ABSTRACT The Industry 5.0 concept guides the industry to the premise of sustainability, resilience and human‐centric solutions. The last related pillar tries to create solutions to empower the people in production line processes since solutions should be designed to be easy to use and easy to learn without discarding the working people. In this regard,
João P. C. de Souza, Luís F. Rocha, A. Paulo Moreira, José Boaventura‐Cunha   +3 more
wiley   +1 more source