Dense RGB-D visual odometry using inverse depth

Research article (Robotics and Autonomous Systems, 2015) · cited 42× · AI/ML
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Dense RGB-D visual odometry using inverse depth

Summary

Dense RGB-D visual odometry using inverse depth is a scholarly article[1].

Key Facts

  • Dense RGB-D visual odometry using inverse depth's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] . wikidata.org.

Class ancestry

  1. [1] . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Dense RGB-D visual odometry using inverse depth. Retrieved May 24, 2026, from https://4ort.xyz/entity/dense-rgb-d-visual-odometry-using-inverse-depth
MLA “Dense RGB-D visual odometry using inverse depth.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dense-rgb-d-visual-odometry-using-inverse-depth.
BibTeX @misc{4ortxyz_dense-rgb-d-visual-odometry-using-inverse-depth_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dense RGB-D visual odometry using inverse depth}}, year = {2026}, url = {https://4ort.xyz/entity/dense-rgb-d-visual-odometry-using-inverse-depth}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dense RGB-D visual odometry using inverse depth — https://4ort.xyz/entity/dense-rgb-d-visual-odometry-using-inverse-depth (retrieved 2026-05-24)

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