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Manhattan World: compass direction from a single image by Bayesian inference
Abstract
When designing computer vision systems for the blind and visually impaired it is important to determine the orientation of the user relative to the scene. We observe that most indoor and outdoor (city) scenes are designed on a Manhattan three-dimensional grid. This Manhattan grid structure puts strong constraints on the intensity gradients in the image. We demonstrate an algorithm for detecting the orientation of the user in such scenes based on Bayesian inference using statistics which we have learnt in this domain. Our algorithm requires a single input image and does not involve pre-processing stages such as edge detection and Hough grouping. We demonstrate strong experimental results on a range of indoor and outdoor images. We also show that estimating the grid structure makes it significantly easier to detect target objects which are not aligned with the grid.
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Cited by
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Gomez-Ojeda, R., Moreno, F.-A., Zuniga-Noel, D., Scaramuzza, D., & Gonzalez-Jimenez, J. (2019) · IEEE Transactions on Robotics · doi:10.1109/tro.2019.2899783 · Cited by 560
Košecká, J., & Zhang, W. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-47979-1_32 · Cited by 293
StructSLAM: Visual SLAM With Building Structure Lines
Zhou, H., Zou, D., Pei, L., Ying, R., Liu, P., & Yu, W. (2015) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2015.2388780 · Cited by 280
Non-iterative approach for fast and accurate vanishing point detection
Tardif, J.-P. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459328 · Cited by 264
LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
Zou, C., Colburn, A., Shan, Q., & Hoiem, D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00219 · Cited by 257
Metadata
- Authors
- Coughlan, J. M., & Yuille, A. L.
- Venue
- Proceedings of the Seventh IEEE International Conference on Computer Vision
- Publisher
- IEEE
- Published
- 1999
- Pages
- 941-947 vol.2
- OpenAlex
- W2102271310
- Cited by
- 475
- References
- 0
- FWCI
- 3.52
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Coughlan, J. M., & Yuille, A. L. (1999). Manhattan World: compass direction from a single image by Bayesian inference. Proceedings of the Seventh IEEE International Conference on Computer Vision. https://doi.org/10.1109/iccv.1999.790349
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