Nektarios Anagnostopoulos
Papers
1
Total Citations
6
H-Index
1
About
Nektarios Anagnostopoulos is a researcher whose work lies at the intersection of computer vision and multimedia retrieval, with a particular focus on developing efficient and robust image descriptors. His most notable contribution is the introduction of CoMo (Compact Composite Moment-based descriptor), a scale and rotation invariant feature representation designed for image retrieval tasks. This work, published in 2018 and garnering over six citations, addresses the critical challenge of creating descriptors that are both compact and invariant to common geometric transformations, making them highly practical for large-scale visual search applications. Anagnostopoulos’s research advances the field by bridging the gap between theoretical invariance properties and real-world retrieval efficiency, offering a solution that balances discriminative power with computational economy. His contributions are particularly relevant for students and researchers exploring content-based image retrieval, feature engineering, and moment-based analysis, providing a foundation for further innovation in scalable visual indexing systems.
Research Focus
Key Achievements
Top Papers
- 1