The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Creating Large-Scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation
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Cites
Fast approximate energy minimization via graph cuts
Boykov, Y., Veksler, O., & Zabih, R. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.969114 · Cited by 6,988
Surface simplification using quadric error metrics
Garland, M., & Heckbert, P. S. (1997) · Proceedings of the 24th annual conference on Computer graphics and interactive techniques - SIGGRAPH '97 · doi:10.1145/258734.258849 · Cited by 3,412
Efficient RANSAC for Point‐Cloud Shape Detection
Schnabel, R., Wahl, R., & Klein, R. (2007) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2007.01016.x · Cited by 2,106
Markov Random Field Modeling in Image Analysis
Li, S. Z. (2001) · Computer Science Workbench · doi:10.1007/978-4-431-67044-5 · Cited by 1,533
Agarwal, S., Snavely, N., Simon, I., Seitz, S. M., & Szeliski, R. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459148 · Cited by 1,067
Procedural modeling of buildings
Müller, P., Wonka, P., Haegler, S., Ulmer, A., & Van Gool, L. (2006) · ACM Transactions on Graphics · doi:10.1145/1141911.1141931 · Cited by 950
On benchmarking camera calibration and multi-view stereo for high resolution imagery
Strecha, C., von Hansen, W., Van Gool, L., Fua, P., & Thoennessen, U. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2008.4587706 · Cited by 814
Full-waveform topographic lidar: State-of-the-art
Mallet, C., & Bretar, F. (2009) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2008.09.007 · Cited by 811
Self-citationTowards Internet-scale multi-view stereo
Furukawa, Y., Curless, B., Seitz, S. M., & Szeliski, R. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539802 · Cited by 751
Detailed Real-Time Urban 3D Reconstruction from Video
Pollefeys, M., Nistér, D., Frahm, J.-M., Akbarzadeh, A., Mordohai, P., Clipp, B., Engels, C., Gallup, D., Kim, S.-J., Merrell, P., et al. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0086-4 · Cited by 717
Cited by
Weinmann, M., Jutzi, B., Hinz, S., & Mallet, C. (2015) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.01.016 · Cited by 709
Self-citationUrban land cover classification using airborne LiDAR data: A review
Yan, W. Y., Shaker, A., & El-Ashmawy, N. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.11.001 · Cited by 566
FAST SEMANTIC SEGMENTATION OF 3D POINT CLOUDS WITH STRONGLY VARYING DENSITY
Hackel, T., Wegner, J. D., & Schindler, K. (2016) · ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences · doi:10.5194/isprs-annals-iii-3-177-2016 · Cited by 371
LiDAR Point Clouds to 3-D Urban Models$:$ A Review
Wang, R., Peethambaran, J., & Chen, D. (2018) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2017.2781132 · Cited by 319
Blaha, M., Vogel, C., Richard, A., Wegner, J. D., Pock, T., & Schindler, K. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.346 · Cited by 88
Metadata
- Authors
- Lafarge, F., & Mallet, C.
- Venue
- International Journal of Computer Vision
- Published
- 2012-02-29
- Volume
- 99
- Issue
- 1
- Pages
- 69-85
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2041170980
- Cited by
- 332
- References
- 37
- FWCI
- 23.51
- Type
- journal article
- Language
- en
- Open access
- green
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- Lafarge, F., & Mallet, C. (2012). Creating Large-Scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation. International Journal of Computer Vision. https://doi.org/10.1007/s11263-012-0517-8
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.