Computer Vision Systems
https://doi.org/10.1007/978-3-540-79547-6
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https://doi.org/10.1007/978-3-540-79547-6
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
https://doi.org/10.1007/978-3-642-82940-6
https://doi.org/10.1007/978-3-319-33762-3
https://doi.org/10.1016/0924-2244(96)10028-5
10.3389/fvets.2026.1952589
PMC: PMC13736258
10.1093/iob/obag065
PMC: PMC13736555
10.1186/s12904-026-02361-0
PMC: PMC13737703
10.3389/fbioe.2026.1952925
PMC: PMC13736717
10.3389/fpsyg.2026.1943335
PMC: PMC13736714
10.3389/frai.2026.1947291
PMC: PMC13736775
10.3389/fncom.2026.1938329
PMC: PMC13736752
10.1016/j.isci.2026.118006
PMC: PMC13734792
10.1016/j.isci.2026.118026
PMC: PMC13734793
LiDARs are one of the key sources of reliable environmental ranging information for autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings, people, cars, etc.) based on LiDAR point clouds has limitations. On the o...
10.1109/ACCESS.2023.3298706
Due to their high distinctiveness, robustness to illumination and simple computation, Histogram of Oriented Gradient (HOG) features have attracted much attention and achieved remarkable success in many computer vision tasks. In this paper, ...
10.3390/brainsci11020240
Semantic segmentation assigns class labels at the pixel level, forming a key part of various computer vision applications, including autonomous driving, medical imaging, and robotics. However, segmentation accuracy often drops significantly...
10.1109/ACCESS.2025.3641590
Background: Varicose veins (VVs) of the lower limbs, characterized by palpable, dilated, and tortuous veins, affect 2–73% of the global population. Artificial intelligence (AI) offers significant potential to enhance healthcare efficiency a...
10.3390/jvd4020019
Metallographic evaluation of nodular cast iron is crucial for quality control in the foundry industry. Traditionally, this process relies on experts who visually interpret microscopic images. This study introduces HawkEye, a comprehensive s...
10.3390/app15136991