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Lightweight Road Image Segmentation Algorithm Based on Multi-Scale Feature Fusion for Blind Guiding Scenarios

SHA Yuyang, LU Jingtao, DU Haofan, ZHAI Xiaobing, MENG Weiyu, LIAN Xu, LUO Gang, LI Kefeng • Jisuanji gongcheng (2025)

Image segmentation is a crucial technology for environmental perception, and it is widely used in various scenarios such as autonomous driving and virtual reality. With the rapid development of technology, computer vision-based blind guidin...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0068674

Deep Neural Networks and Kernel Density Estimation for Detecting Human Activity Patterns from Geo-Tagged Images: A Case Study of Birdwatching on Flickr

Caglar Koylu, Chang Zhao, Wei Shao • ISPRS International Journal of Geo-Information (2019)

Thanks to recent advances in high-performance computing and deep learning, computer vision algorithms coupled with spatial analysis methods provide a unique opportunity for extracting human activity patterns from geo-tagged social media ima...

DOAJ Open Access (DOAJ) DOI: 10.3390/ijgi8010045

Reliable Parkinson’s Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model

Liaqat Ali, Ce Zhu, Noorbakhsh Amiri Golilarz, Ashir Javeed et al. • IEEE Access (2019)

Parkinson's disease (PD) is the second most common neurodegenerative disease of central nervous system (CNS). Till now, there is no definitive clinical examination that can diagnose a PD patient. However, it has been reported that PD patien...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2019.2932037

Computer Vision Tools for 3D Modelling in Archaeology

Mauro Lo Brutto, Paola Meli • International Journal of Heritage in the Digital Era (2012)

In archaeological Cultural Heritage study 3D modelling has become a very useful process to obtain indispensable data for documentation and visualization. Nowadays the continuous request to achieve photorealistic 3D models has led to testing...

OPENALEX Open Access DOI: https://doi.org/10.1260/2047-4970.1.0.1

Learn Computer Vision Using OpenCV

Sunila Gollapudi • Apress eBooks (2019)

Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examp...

OPENALEX DOI: https://doi.org/10.1007/978-1-4842-4261-2

Deep Learning for Computer Vision: A Brief Review

Ksheera R Shetty, Vaibhav S Soorinje, Prinson Dsouza, Swasthik • International Journal of Advanced Research in Science Communication and Technology (2022)

Over the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with computer vision being one of the most prominent cases. This review paper provides a brief ...

OPENALEX cc-by DOI: https://doi.org/10.48175/ijarsct-2898

Deep learning based computer vision approaches for smart agricultural applications

V. G. Dhanya, Anakkallan Subeesh, Nand Lal Kushwaha, Dinesh Kumar Vishwakarma et al. • Artificial Intelligence in Agriculture (2022)

The agriculture industry is undergoing a rapid digital transformation and is growing powerful by the pillars of cutting-edge approaches like artificial intelligence and allied technologies. At the core of artificial intelligence, deep learn...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.aiia.2022.09.007

Computer Vision Meets Educational Robotics

Aphrodite Sophokleous, Panayiotis Christodoulou, Lefteris Doitsidis, Savvas A. Chatzichristofis • Electronics (2021)

Educational robotics has gained a lot of attention in the past few years in K-12 education. Prior studies have shown enough shreds of evidence and highlight the benefits of educational robotics as being effective in providing impactful lear...

OPENALEX cc-by DOI: https://doi.org/10.3390/electronics10060730