Reset
Showing 20 of 547 academic articles

Mobile system for road sign detection and recognition with template matching

Maćkowski Michał, Sawiski Michał, Walczyszyn Wojciech • MATEC Web of Conferences (2019)

This paper explores the effective approach to road sign detection and recognition based on mobile devices. Detecting and recognising road signs is a challenging matter because of different shapes, complex background and irregular sign illum...

DOAJ Open Access (DOAJ) DOI: 10.1051/matecconf/201925203014

Autonomous Driving Roadway Feature Interpretation Using Integrated Semantic Analysis and Domain Adaptation

Suyang Xi, Zihan Liu, Ziming Wang, Qiang Zhang et al. • IEEE Access (2024)

Lane detection is fundamental to autonomous driving, yet remains challenging in complex environments with occlusions, ambiguous markings, and varied lighting. We introduce the Global Semantic Enhancement Network (GSENet), a groundbreaking f...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3429396

Identification of camouflage military individuals with deep learning approaches DFAN and SINETV2

Ali Haider, Ghulam Muhammad, Talha Ahmed Khan, Kushsairy Kadir et al. • Scientific Reports (2025)

Abstract Camouflaged object detection particularly is considered as challenging and crucial because these objects are designed to either mimic their environment or be completely hidden within it. The goal of camouflage patterns utilization ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-18886-y

Perceptual organization in computer vision: a review and a proposal for a classificatory structure

Sudeep Sarkar, Kim L. Boyer • IEEE Transactions on Systems Man and Cybernetics (1993)

The role of perceptual organization in computer vision systems is explored. This is done from four vantage points. A brief history of perceptual organization research in both humans and computer vision is offered. A classificatory structure...

OPENALEX DOI: https://doi.org/10.1109/21.229452

Computer Vision

Mrs. Arjoo Pandey • International Journal for Research in Applied Science and Engineering Technology (2023)

Abstract: Computer vision is a field of artificial intelligence that focuses on enabling computers to understand and interpret visual information from images or videos. It involves developing algorithms and techniques to extract meaningful ...

OPENALEX Open Access DOI: https://doi.org/10.22214/ijraset.2023.54701

Machine Learning in Computer Vision: A Review

Abdullah Ayub Khan, Asif Ali Laghari, Shafique Ahmad Awan • ICST Transactions on Scalable Information Systems (2018)

INTRODUCTION: Due to the advancement in the field of Artificial Intelligence (AI), the ability to tackle entire problems of machine intelligence. Nowadays, Machine learning (ML) is becoming a hot topic due to the direct training of machines...

OPENALEX cc-by DOI: https://doi.org/10.4108/eai.21-4-2021.169418

Computer Vision for Music Identification

Ke Yan, Derek Hoiem, Rahul Sukthankar • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (2005)

We describe how certain tasks in the audio domain can be effectively addressed using computer vision approaches. This paper focuses on the problem of music identification, where the goal is to reliably identify a song given a few seconds of...

OPENALEX DOI: https://doi.org/10.1109/cvpr.2005.105

Transformer in Computer Vision

Jiarui Bi, Zengliang Zhu, Qinglong Meng • International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI) (2021)

Transformer is widely used in Natural Language Processing (NLP), in which numerous papers have been proposed. Recently, the transformer has been borrowed for many computer vision tasks. However, there are few papers to give a comprehensive ...

OPENALEX DOI: https://doi.org/10.1109/cei52496.2021.9574462

Robotic Template Library

Ales Jelinek, Adam Ligocki, Ludek Zalud • Journal of Open Research Software (2021)

Robotic Template Library (RTL) is a set of tools for dealing with geometry and point cloud processing, especially in robotic applications. The software package covers basic objects such as vectors, line segments, quaternions, rigid transfor...

DOAJ Open Access (DOAJ) DOI: 10.5334/jors.353