| Autor: |
Baldwin, R Wes, Almatrafi, Mohammed, Kaufman, Jason R, Asari, Vijayan, Hirakawa, Keigo |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Image Analysis and Recognition. ICIAR 2019. Lecture Notes in Computer Science, vol 11663. Springer, Cham |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.1007/978-3-030-27272-2_35 |
| Popis: |
This paper presents a novel fusion of low-level approaches for dimensionality reduction into an effective approach for high-level objects in neuromorphic camera data called Inceptive Event Time-Surfaces (IETS). IETSs overcome several limitations of conventional time-surfaces by increasing robustness to noise, promoting spatial consistency, and improving the temporal localization of (moving) edges. Combining IETS with transfer learning improves state-of-the-art performance on the challenging problem of object classification utilizing event camera data. |
| Databáze: |
arXiv |
| Externí odkaz: |
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