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Cited by 229

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Dense scene reconstruction with points of interest

Zhou, Qian-Yi, Koltun, Vladlen·2013·ACM Transactions on Graphics

Abstract

We present an approach to detailed reconstruction of complex real-world scenes with a handheld commodity range sensor. The user moves the sensor freely through the environment and images the scene. An offline registration and integration pipeline produces a detailed scene model. To deal with the complex sensor trajectories required to produce detailed reconstructions with a consumer-grade sensor, our pipeline detects points of interest in the scene and preserves detailed geometry around them while a global optimization distributes residual registration errors through the environment. Our results demonstrate that detailed reconstructions of complex scenes can be obtained with a consumer-grade camera.

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Metadata

Authors
Zhou, Q.-Y., & Koltun, V.
Venue
ACM Transactions on Graphics
Published
2013-07-21
Volume
32
Issue
4
Pages
1-8
ISSN
  • 0730-0301 (ISSN-L)
  • 1557-7368
OpenAlex
W2000760692
Cited by
229
References
3
FWCI
24.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dense scene reconstruction with points of interest. https://app.cochat.ai/papers/10.1145/2461912.2461919
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Zhou, Q.-Y., & Koltun, V. (2013). Dense scene reconstruction with points of interest. ACM Transactions on Graphics. https://doi.org/10.1145/2461912.2461919

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