Corpus ID: 237278052

DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization

@article{Zhang2021DeepPanoContextP3,
  title={DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization},
  author={Cheng Zhang and Zhaopeng Cui and Cai Chen and Shuaicheng Liu and Bing Zeng and Hujun Bao and Yinda Zhang},
  journal={ArXiv},
  year={2021},
  volume={abs/2108.10743}
}
  • Cheng Zhang, Zhaopeng Cui, +4 authors Yinda Zhang
  • Published 2021
  • Computer Science
  • ArXiv
Panorama images have a much larger field-of-view thus naturally encode enriched scene context information compared to standard perspective images, which however is not well exploited in the previous scene understanding methods. In this paper, we propose a novel method for panoramic 3D scene understanding which recovers the 3D room layout and the shape, pose, position, and semantic category for each object from a single full-view panorama image. In order to fully utilize the rich context… Expand

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References

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TLDR
Experiments show that solely based on 3D context without any image region category classifier, the proposed whole-room context model can achieve a comparable performance with the state-of-the-art object detector, demonstrating that when the FOV is large, context is as powerful as object appearance. Expand
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