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Experimental study of a novel contact-based pose detection approach for digital twin-driven high-precision micro assembly

Nazeer Bilal, Pradeep Carol Santhosh, Vargas Patricia A., Erden Mustafa Suphi et al. • Manufacturing Review (2025)

This study presents a comprehensive study of a novel Contact-Based Pose Estimation Method (CBPEM) for enhancing precision in robotic assembly processes within digital twin frameworks. Conventional pose detection methods, such as laser and c...

DOAJ Open Access (DOAJ) DOI: 10.1051/mfreview/2025004

Deep Learning and Bidirectional Optical Flow Based Viewport Predictions for 360° Video Coding

Jayasingam Adhuran, Gosala Kulupana, Anil Fernando • IEEE Access (2022)

The rapid development of virtual reality applications continues to urge better compression of 360° videos owing to the large volume of content. These videos are typically converted to 2-D formats using various projection techniques i...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2022.3219861

OpenCV for Computer Vision Applications

Ekta Sinha, Ashwani Kumar, Abhinav Tyagi • International Journal For Multidisciplinary Research (2025)

OpenCV is a powerful, open-source toolkit designed for handling real-time computer vision challenges and advanced image processing tasks. It enables automated systems to interpret images and videos effectively. This paper explores the capab...

OPENALEX cc-by-sa DOI: https://doi.org/10.36948/ijfmr.2025.v07i03.44280

Computer vision applied to super resolution

David P. Capel, Andrew Zisserman • IEEE Signal Processing Magazine (2003)

Super-resolution (SR) restoration aims to solve the following problem: given a set of observed images, estimate an image at a higher resolution than is present in any of the individual images. Where the application of this technique differs...

OPENALEX DOI: https://doi.org/10.1109/msp.2003.1203211

Head Pose Estimation in Computer Vision: A Survey

Erik Murphy-Chutorian, Mohan Manubhai Trivedi • IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

The capacity to estimate the head pose of another person is a common human ability that presents a unique challenge for computer vision systems. Compared to face detection and recognition, which have been the primary foci of face-related vi...

OPENALEX DOI: https://doi.org/10.1109/tpami.2008.106

A survey of public datasets for computer vision tasks in precision agriculture

Yuzhen Lu, Sierra N. Young • Computers and Electronics in Agriculture (2020)

Computer vision technologies have attracted significant interest in precision agriculture in recent years. At the core of robotics and artificial intelligence, computer vision enables various tasks from planting to harvesting in the crop pr...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.compag.2020.105760

Fuzzy Comprehensive Evaluation Model of Project Investment Risk Based on Computer Vision Technology

Hongjian Wang • Journal of Electrical and Computer Engineering (2023)

With the development of the economy and real-time embedded systems and the progress of science and technology, people’s economic income forms have undergone tremendous changes, and the concept of financial management has become clearer in p...

DOAJ Open Access (DOAJ) DOI: 10.1155/2023/5501265

A Self-Adaptive Traffic Signal System Integrating Real-Time Vehicle Detection and License Plate Recognition for Enhanced Traffic Management

Manar Ashkanani, Alanoud AlAjmi, Aeshah Alhayyan, Zahraa Esmael et al. • Inventions (2025)

Traffic management systems play a crucial role in smart cities, especially because increasing urban populations lead to higher traffic volumes on roads. This results in increased congestion at intersections, causing delays and traffic viola...

DOAJ Open Access (DOAJ) DOI: 10.3390/inventions10010014

Effectual pre-processing with quantization error elimination in pose detector with the aid of image-guided progressive graph convolution network (IGP-GCN) for multi-person pose estimation

Jhansi Rani Challapalli, Nagaraju Devarakonda • Machine Learning: Science and Technology (2023)

Multi-person pose estimation (MPE) remains a significant and intricate issue in computer vision. This is considered the human skeleton joint identification issue and resolved by the joint heat map regression network lately. Learning robust ...

DOAJ Open Access (DOAJ) DOI: 10.1088/2632-2153/acc9fc