Computer Vision and Image Understanding
https://doi.org/10.2139/ssrn.4129906
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https://doi.org/10.2139/ssrn.4129906
https://doi.org/10.1016/j.autcon.2023.104980
10.1093/ehjopen/oeag162
PMC: PMC13728345
Modern synchrotron X-ray facilities generate X-ray diffraction (XRD) image data at rates that far exceed the capacity of manual analysis, yet critical processing steps such as artifact removal rely on human intervention. Rule-based algorith...
10.1107/S160057752600754X
10.1177/24741264251388103
PMC: PMC12588966
Aplikasi pendeteksi wajah pada citra digital sangat diperlukan dalam proses pengenalan wajah seseorang. Aplikasi ini banyak dimanfaatkan pada berbagai disiplin ilmu, salah satunya ilmu komputer visi(computer vision) seperti sistem pengenala...
10.35143/jkt.v7i1.3411
3D Geometric quality inspection involves assessing and comparing a reconstructed object to a predefined reference model or design that defines its expected volume. Achieving precise 3D object geometry reconstruction from multiple views can ...
10.3390/math11214419
This is a cookbook that shows results obtained on real images with detailed explanations and the relevant screenshots. The recipes contain code accompanied with suitable explanations that will facilitate your learning. If you are a novice C...
10.1016/j.csl.2024.101715
PMC: PMC13734732
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning (DL) is already present in many applications ranging from computer vision for medicine to autonomous driving of modern cars as well as other sectors in ...
10.1109/ACCESS.2020.3039858
Bicycle helmets are a main measure for injury prevention in case of a crash and are a central variable in transport safety studies. Despite this, helmet use data is only collected sporadically, as the observation of helmet use in traffic by...
10.1016/j.jcmr.2024.100013
Testing a GUI's visual behavior typically requires human testers to interact with the GUI and to observe whether the expected results of interaction are presented. This paper presents a new approach to GUI testing using computer vision for ...
https://doi.org/10.1145/1753326.1753555
https://doi.org/10.1007/978-3-642-12848-6
https://doi.org/10.1016/j.aei.2015.02.001
The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling huma...
https://doi.org/10.1002/9780470744055
Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim of imitating this aspect of the human visual system. Such an ...
https://doi.org/10.1007/s41095-022-0271-y
Computer vision holds great promise for helping persons with blindness or visual impairments (VI) to interpret and explore the visual world. To this end, it is worthwhile to assess the situation critically by understanding the actual needs ...
https://doi.org/10.1145/2063176.2063200
PMC: 3398697
Strong gravitational lensing (SL) by galaxy clusters is a powerful probe of their inner mass distribution and a key test bed for cosmological models. However, the detection of SL events in wide-field surveys such as Euclid requires robust a...
10.1051/0004-6361/202557590
https://doi.org/10.1016/j.survophthal.2005.02.008
10.1002/brv.70203
PMC: PMC13736830