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computer vision

Texts in Computer Science, 2011
The typical computational approach to object understanding derives shape information from the 2D outline of the objects. For complex object structures, however, such a planar approach cannot determine object shape; the structural edges have to be encoded in terms of their full 3D spatial configuration.
R. Szeliski
semanticscholar   +4 more sources

Design and Development of Cost-Effective Child Surveillance System using Computer Vision Technology

2022 International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC), 2022
The project's primary goal is to ensure child surveillance, continuous monitor and alert system for safety. Pre-defined navigation is one of the primary challenges in the robotic industry. Many technologies have been developed to overcome these problems.
Vedavyas Peddiraju   +3 more
semanticscholar   +1 more source

A Survey on Underwater Computer Vision

ACM Computing Surveys, 2023
Underwater computer vision has attracted increasing attention in the research community due to the recent advances in underwater platforms such as of rovers, gliders, autonomous underwater vehicles (AUVs), and the like, that now make possible the ...
Salma González-Sabbagh, A. Robles-Kelly
semanticscholar   +1 more source

FACET: Fairness in Computer Vision Evaluation Benchmark

IEEE International Conference on Computer Vision, 2023
Computer vision models have known performance disparities across attributes such as gender and skin tone. This means during tasks such as classification and detection, model performance differs for certain classes based on the demographics of the people ...
Laura Gustafson   +7 more
semanticscholar   +1 more source

Computer Vision

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) vision has evolved, particularly over the past 20 years, and introduces its central methodological paradigms.
Y, Aloimonos, A, Rosenfeld
openaire   +2 more sources

Computer Vision and Image Understanding

Social Science Research Network, 2022
We propose a novel approach to improve action recognition by exploiting the hierarchical organization of actions and by incorporating contextualized textual information, including location and previous actions, to reflect the action’s temporal context ...
Wenming Tang, Yuanhao Gong, Guoping Qiu
semanticscholar   +1 more source

Computer vision technologies for safety science and management in construction: A critical review and future research directions

Safety Science, 2021
Recent years have seen growing interests in developing and applying computer vision technologies to solve safety problems in the construction industry. Despite the technological advancements, there is no research that exams the theoretical links between ...
Brian H. W. Guo   +4 more
semanticscholar   +1 more source

Computer Vision

2000
The purpose of this report is to provide some ideas and basic principles which can be used to design the software for a vision system. It discusses concepts that are generally applicable in vision systems but it is primarily concerned with the application in robotics.
openaire   +3 more sources

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