High level structure recognition in single urban images using a CNN and SuperPixels

Author:

Osuna-Coutiño J.A. de Jesús,Martinez-Carranza JoseORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference53 articles.

1. A S, M S, Y NA (2009) Make3D: learning 3D scene structure from a single still image. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp 824–840. https://doi.org/10.1109/TPAMI.2008.132

2. Achanta R, Shaji A, Smith K, Lucchi A, Fua P, Susstrunk S (2010) SLIC superpixels. EPFL

3. Aguilar-González A., Arias-Estrada, M., Berry F (2019) Depth from a motion algorithm and a hardware architecture for smart cameras. Sensors MDPI. https://doi.org/10.3390/s19010053

4. Alhashim I, Wonka P (2019) High quality monocular depth estimation via transfer learning. arXiv:1812.11941

5. B M, H W, J K (2008) Detection and matching of rectilinear structures. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 1–7

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