Home › Entities › academia › BE-SIFT: A More Brief and Efficient SIFT Image Matching Algorithm for Computer Vision

BE-SIFT: A More Brief and Efficient SIFT Image Matching Algorithm for Computer Vision

Research article (2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015) · cited 14× · AI/M
CreativeWork academia openalex:W2205255364
Press Enter · cited answer in seconds

Summary

BE-SIFT: A More Brief and Efficient SIFT Image Matching Algorithm for Computer Vision is a scholarly article[1].

Key Facts

  • BE-SIFT: A More Brief and Efficient SIFT Image Matching Algorithm for Computer Vision's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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). BE-SIFT: A More Brief and Efficient SIFT Image Matching Algorithm for Computer Vision. Retrieved May 24, 2026, from https://4ort.xyz/entity/be-sift-a-more-brief-and-efficient-sift-image-matching-algorithm-for-computer-vision
MLA “BE-SIFT: A More Brief and Efficient SIFT Image Matching Algorithm for Computer Vision.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/be-sift-a-more-brief-and-efficient-sift-image-matching-algorithm-for-computer-vision.
BibTeX @misc{4ortxyz_be-sift-a-more-brief-and-efficient-sift-image-matching-algorithm-for-computer-vision_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BE-SIFT: A More Brief and Efficient SIFT Image Matching Algorithm for Computer Vision}}, year = {2026}, url = {https://4ort.xyz/entity/be-sift-a-more-brief-and-efficient-sift-image-matching-algorithm-for-computer-vision}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BE-SIFT: A More Brief and Efficient SIFT Image Matching Algorithm for Computer Vision — https://4ort.xyz/entity/be-sift-a-more-brief-and-efficient-sift-image-matching-algorithm-for-computer-vision (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/be-sift-a-more-brief-and-efficient-sift-image-matching-algorithm-for-computer-vision · Last refreshed: