Pixel-level Feature Engineering
Pixel-Level Feature Engineering is a feature extraction methodology in image processing that operates on individual pixel values as the fundamental unit of analysis, distinguishing itself by deriving or transforming image features directly from raw pixel intensities without relying on higher-level structural or regional abstractions.
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1.3K
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135
Authors
58
Institutions
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2017–2026
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View-based 3D object recognition with support vector machines
Danny Roobaert, Marc M. Van Hulle · 2003 · 100 citations
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University of Science and Technology of China
Hefei, China
2 h-index
8 publications
152 citations
University of Maryland, College Park
College Park, United States
2 h-index
4 publications
418 citations
Brandenburg University of Applied Sciences
Brandenburg, Germany
2 h-index
2 publications
20 citations
Otto-von-Guericke-Universität Magdeburg
Magdeburg, Germany
2 h-index
5 publications
50 citations

Inonu University
Malatya, Türkiye
1 h-index
1 publications
73 citations

China Meteorological Administration
Beijing, China
1 h-index
1 publications
176 citations
Technische Universität Berlin
Berlin, Germany
1 h-index
1 publications
32 citations

Bandırma Onyedi Eylül University
Bandırma, Türkiye
1 h-index
1 publications
73 citations
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Repository · 2 publications · 31 citations
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2 publications · 44 citations
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1 publications · 29 citations
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1 publications · 73 citations
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1 publications · 176 citations
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