Semantically Aware Urban 3D Reconstruction with Plane-Based Regularization

Thomas Holzmann, Michael Maurer, Friedrich Fraundorfer, Horst Bischof

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	Computer Vision – ECCV 2018
Subtitle of host publication	15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings,
Publisher	Springer
Pages	487-503
DOIs	https://doi.org/10.1007/978-3-030-01264-9_29
Publication status	Published - 2018
Event	15th European Conference on Computer Vision: ECCV 2018 - München, Germany Duration: 8 Sept 2018 → 14 Sept 2018

Name	Lecture Notes in Computer Science
Volume	11218

Conference	15th European Conference on Computer Vision
Abbreviated title	ECCV 2018
Country/Territory	Germany
City	München
Period	8/09/18 → 14/09/18

Access to Document

Holzmann, T., Maurer, M., Fraundorfer, F., & Bischof, H. (2018). Semantically Aware Urban 3D Reconstruction with Plane-Based Regularization. In Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, (pp. 487-503). (Lecture Notes in Computer Science; Vol. 11218). Springer. https://doi.org/10.1007/978-3-030-01264-9_29

Semantically Aware Urban 3D Reconstruction with Plane-Based Regularization. / Holzmann, Thomas; Maurer, Michael; Fraundorfer, Friedrich et al.
Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, . Springer, 2018. p. 487-503 (Lecture Notes in Computer Science; Vol. 11218).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Holzmann, T, Maurer, M, Fraundorfer, F & Bischof, H 2018, Semantically Aware Urban 3D Reconstruction with Plane-Based Regularization. in Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, . Lecture Notes in Computer Science, vol. 11218, Springer, pp. 487-503, 15th European Conference on Computer Vision, München, Germany, 8/09/18. https://doi.org/10.1007/978-3-030-01264-9_29

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