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Color in Computer Vision

Theo Gevers, Arjan Gijsenij, Joost van de Weijer, Jan‐Mark Geusebroek • Wiley eBooks (2012)

While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color i...

OPENALEX DOI: https://doi.org/10.1002/9781118350089

Low-Power Computer Vision

George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen et al. • Chapman & Hall/CRC eBooks (2022)

Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Visio...

OPENALEX Open Access DOI: https://doi.org/10.1201/9781003162810

Computational Symmetry in Computer Vision and Computer Graphics

Yanxi Liu, Hagit Zabrodsky Hel-Or, Craig S. Kaplan, Luc Van Gool • Foundations and Trends® in Computer Graphics and Vision (2010)

In the arts and sciences, as well as in our daily lives, symmetry has made a profound and lasting impact. Likewise, a computational treatment of symmetry and group theory (the ultimate mathematical formalization of symmetry) has the potenti...

OPENALEX DOI: https://doi.org/10.1561/0600000008

Visual servoing for robot control: Learning activities using RoboDKde robots: actividades de aprendizaje con RoboDK

Raidell Avello-Martínez, Abraham Prieto García • Edutec (2025)

Visual servo control is a key robotic control technique that uses visual feedback to dynamically adjust movements. This study, conducted within the AIM@VET project, evaluates the effectiveness of a RoboDK-based lesson with 25 vocational stu...

DOAJ Open Access (DOAJ) DOI: 10.21556/edutec.2025.94.3955

A lightweight fully convolutional neural network for efficient and accurate tunnel crack detection

Hao Huang, G.T.S. Ho, V. Tang, E.W.H. Chow et al. • Journal of Advanced Research (2026)

Introduction: Crack damage is a significant issue in tunnel environments, requiring efficient and reliable detection to ensure structural integrity. Many existing solutions are computationally expensive, making them unsuitable for the tight...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jare.2025.11.052