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Robust Feature Tracking in DVS Event Stream using Bézier Mapping

Research article (2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020) · cited 35× · AI/ML
academia openalex:W3010205723
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Robust Feature Tracking in DVS Event Stream using Bézier Mapping

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Robust Feature Tracking in DVS Event Stream using Bézier Mapping is a scholarly article[1].

Key Facts

  • Robust Feature Tracking in DVS Event Stream using Bézier Mapping's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Robust Feature Tracking in DVS Event Stream using Bézier Mapping. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-feature-tracking-in-dvs-event-stream-using-bezier-mapping
MLA “Robust Feature Tracking in DVS Event Stream using Bézier Mapping.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-feature-tracking-in-dvs-event-stream-using-bezier-mapping.
BibTeX @misc{4ortxyz_robust-feature-tracking-in-dvs-event-stream-using-bezier-mapping_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust Feature Tracking in DVS Event Stream using Bézier Mapping}}, year = {2026}, url = {https://4ort.xyz/entity/robust-feature-tracking-in-dvs-event-stream-using-bezier-mapping}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robust Feature Tracking in DVS Event Stream using Bézier Mapping — https://4ort.xyz/entity/robust-feature-tracking-in-dvs-event-stream-using-bezier-mapping (retrieved 2026-05-24)

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