Metraipolis › archive › dc_cd6fa176d77f

An Event Preserving Velocity Invariant Representation for Event Cameras — arXiv:2609.19973

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.19973
License (as archived): CC0-1.0
Archived: 2026-10-10T05:05:40.589Z
SHA-256 of the archived text: a1574c1ecfd1e009769f0e1111ad614426811a020d786d25fd000e2971070da0
Stable URL of this page: https://metraipolis.com/documento/dc_cd6fa176d77f

How to cite

An Event Preserving Velocity Invariant Representation for Event Cameras — arXiv:2609.19973 — arXiv (en), https://arxiv.org/abs/2609.19973 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_cd6fa176d77f (Metraipolis archive dc_cd6fa176d77f, sha256 a1574c1ecfd1e009769f0e1111ad614426811a020d786d25fd000e2971070da0)

BibTeX

@misc{dccd6fa176d77f,
  title = {An Event Preserving Velocity Invariant Representation for Event Cameras — arXiv:2609.19973},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.19973},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_cd6fa176d77f; sha256 a1574c1ecfd1e009769f0e1111ad614426811a020d786d25fd000e2971070da0},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.19973. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Event cameras provide low-latency, high temporal resolution perception for real-time vision tasks such as this http URL novel circuitry (i.e. asynchronous, independent pixels) that enables these advantages also introduces new algorithmic challenges. Velocity-invariant representations alleviate missing observations under slow motion and motion blur under fast motion, but most discard temporal information by converting events into image-like representations. We propose Set of Centre Active Receptive Fields (SCARF), a real-time velocity-invariant representation that preserves raw events while consistently handling fast motion, stationary scenes, and independently moving objects. SCARF achieves state-of-the-art performance in both computational efficiency and representation quality.

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-09-18 in cs.CV).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2609.19973 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-10T04:26:09.569Z dalla pagina https://arxiv.org/catchup/cs.CV/2026-09-18?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).