Semantic segmentation of panoramic images using a synthetic dataset

@inproceedings{Xu2019SemanticSO,
  title={Semantic segmentation of panoramic images using a synthetic dataset},
  author={Yuanyou Xu and Kaiwei Wang and Kailun Yang and Dongming Sun and Jia Fu},
  booktitle={Security + Defence},
  year={2019}
}
  • Yuanyou Xu, Kaiwei Wang, +2 authors Jia Fu
  • Published in Security + Defence 2019
  • Computer Science, Engineering
  • Panoramic images have advantages in information capacity and scene stability due to their large field of view (FoV). In this paper, we propose a method to synthesize a new dataset of panoramic image. We managed to stitch the images taken from different directions into panoramic images, together with their labeled images, to yield the panoramic semantic segmentation dataset denominated as SYNTHIA-PANO. For the purpose of finding out the effect of using panoramic images as training dataset, we… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Topics from this paper.

    Citations

    Publications citing this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 32 REFERENCES

    Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    CNN based semantic segmentation for urban traffic scenes using fisheye camera

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Super-sensor for 360-degree environment perception: Point cloud segmentation using image features

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant Systems

    Orientation-Aware Semantic Segmentation on Icosahedron Spheres

    VIEW 2 EXCERPTS