Reset
Showing 20 of 6,095 academic articles

HawkEye: AI-Driven Software for Objective Analysis and Characterization of Nodular Cast Iron Microstructures

Javier Nieves, Antonio Serena-Barriuso, Guillermo Elejoste-Rementeria • Applied Sciences (2025)

Metallographic evaluation of nodular cast iron is crucial for quality control in the foundry industry. Traditionally, this process relies on experts who visually interpret microscopic images. This study introduces HawkEye, a comprehensive s...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15136991

Camera Calibration in High-Speed Robotic Assembly Operations

Radu Constantin Parpală, Mario Andrei Ivan, Lidia Florentina Parpală, Costel Emil Coteț et al. • Applied Sciences (2024)

The increase in positioning accuracy and repeatability allowed the integration of robots in assembly operations using guidance systems (structured applications) or video acquisition systems (unstructured applications). This paper proposes a...

DOAJ Open Access (DOAJ) DOI: 10.3390/app14198687

A Self-Supervised One-Shot Learning Approach for Seismic Noise Reduction

Catarina de Nazaré Pereira Pinheiro, Roosevelt de Lima Sardinha, Pablo Machado Barros, André Bulcão et al. • Applied Sciences (2024)

Neural networks have been used in various computer vision applications, including noise removal. However, removing seismic noise via deep learning approaches faces a specific issue: the scarcity of labeled data. To address this difficulty, ...

DOAJ Open Access (DOAJ) DOI: 10.3390/app14219721

Resting Posture Recognition Method for Suckling Piglets Based on Piglet Posture Recognition (PPR)–You Only Look Once

Jinxin Chen, Luo Liu, Peng Li, Wen Yao et al. • Agriculture (2025)

The resting postures of piglets are crucial indicators for assessing their health status and environmental comfort. This study proposes a resting posture recognition method for piglets during lactation based on the PPR-YOLO model, aiming to...

DOAJ Open Access (DOAJ) DOI: 10.3390/agriculture15030230

Structured Learning and Prediction in Computer Vision

Sebastian Nowozin, Christoph H. Lampert • Foundations and Trends® in Computer Graphics and Vision (2011)

Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structure reflecting task-specific relations and constraints. This mo...

OPENALEX DOI: https://doi.org/10.1561/0600000033

Machine Learning in Computer Vision

Asharul Islam Khan, Salim Al-Habsi • Procedia Computer Science (2020)

During last few years the computer applications have gone dramatic transformation from simple data processing to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors and internet. T...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.procs.2020.03.355

Computer Vision Analysis of Intraoperative Video

Daniel A. Hashimoto, Guy Rosman, Elan R. Witkowski, Caitlin E. Stafford et al. • Annals of Surgery (2019)

OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG). BACKGROUND: Computer vision, a form of artificial intelligence (AI), allows for quantitative analysis of video by comput...

OPENALEX Open Access DOI: https://doi.org/10.1097/sla.0000000000003460 PMC: 7216040

Computer Vision

Yiannis Aloimonos, Azriel Rosenfeld • Science (1991)

The field of computer vision is devoted to discovering algorithms, data representations, and computer architectures that embody the principles underlying visual capabilities. This article describes how the field of computer (and robot) visi...

OPENALEX DOI: https://doi.org/10.1126/science.1891713