The DOI matches its Crossref record; 94 of the 101 references it cites were found in a registry or an index.
Bundle Adjustment — A Modern Synthesis
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“These are commonly referred to as landmark-based or feature-based representations, and have been widespread in mobile robotics since early work on localization and mapping, and in computer vision in the context of Structure from Motion [2, 244].”
From Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age (2016) · cites this paper as [244]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
Multiple View Geometry in Computer Vision
Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070
Self-citationNocedal, J., & Wright, S. J. (1999) · Springer eBooks · doi:10.1007/b98874 · Cited by 9,563
Practical Methods of Optimization
Fletcher, R. (2000) · Wiley eBooks · doi:10.1002/9781118723203 · Cited by 7,649
Pattern Recognition and Neural Networks
Ripley, B. D. (1996) · Cambridge University Press eBooks · doi:10.1017/cbo9780511812651 · Cited by 6,500
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
Karypis, G., & Kumar, V. (1998) · SIAM Journal on Scientific Computing · doi:10.1137/s1064827595287997 · Cited by 5,984
Anderson, E., Bai, Z., Bischof, C., Blackford, L. S., Demmel, J., Dongarra, J. J., Croz, J. D., Greenbaum, A., Hammarling, S. J., McKenney, A., et al. (1999) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898719604 · Cited by 4,493
Practical Methods of Optimization.
Witzgall, C., & Fletcher, R. (1989) · Mathematics of Computation · doi:10.2307/2008742 · Cited by 3,621
Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods
Barrett, R. F., Berry, M., Chan, T. F.-C., Demmel, J. W., Donato, J. M., Dongarra, J. J., Eijkhout, V. L., Pozo, R., Romine, C. H., & van der Vorst, H. A. (1994) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611971538 · Cited by 3,493
Numerical Methods for Least Squares Problems
Björck, Å. (1996) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611971484 · Cited by 3,276
Research works printed but not linked: 22
- P. T. Boggs, R. H. Byrd, J. E. Rodgers, and R. B. Schnabel. Users reference guide for ODRPACK 2.01: Software for weighted orthogonal distance regression. Technical Report NISTIR 92-4834, NIST, Gaithersburg, MD, June 1992.
- R. J. Boscovich. De litteraria expeditione per pontificiam ditionem, et synopsis amplioris operis, ac habenturplura ejus ex exemplaria etiam sensorum impressa. Bononiensi Scientarum et Artum Instituto Atque Academia Commentarii, IV:353–396, 1757.
- D. C. Brown. Calibration of close range cameras. Int. Archives Photogrammetry, 19(5), 1972. Unbound paper (26 pages).
- D. C. Brown. The bundle adjustment — progress and prospects. Int. Archives Photogrammetry, 21(3), 1976. Paper number 3-03 (33 pages).
- W. Förstner. On the geometric precision of digital correlation. Int. Arch. Photogrammetry & Remote Sensing, 24(3): 176–189, 1982.
- W. Förstner. A feature-based correspondence algorithm for image matching. Int. Arch. Photogrammetry & Remote Sensing, 26(3/3): 150–166, 1984.
- W. Förstner. The reliability of block triangulation. Photogrammetric Engineering & Remote Sensing, 51(8): 1137–1149, 1985.
- P. Gill, W. Murray, and M. Wright. Practical Optimization. Academic Press, 1981.
- A. Grün. Accuracy, reliability and statistics in close range photogrammetry. In Inter-Congress Symposium of ISP Commission V, page Presented paper. Unbound paper No.9 (24 pages), Stockholm, 1978.
- A. Grün. Precision and reliability aspects in close range photogrammetry. Int. Arch. Photogrammetry, 11(23B):378–391, 1980.
- A. Grün. An optimum algorithm for on-line triangulation. In Symposium of Commission III of the ISPRS, Helsinki, 1982.
- A. Grün. Adaptive kleinste Quadrate Korrelation and geometrische Zusatzinformationen. Vermessung, Photogrammetrie, Kulturtechnik, 9(83):309–312, 1985.
- A. Grün. Algorithmic aspects of on-line triangulation. Photogrammetric Engineering & Remote Sensing, 4(51):419–436, 1985.
- M. S. Gyer. The inversion of the normal equations of analytical aerotriangulation by the method of recursive partitioning. Technical report, Rome Air Development Center, Rome, New York, 1967.
- R. Levy. Restructuring the structural stiffness matrix to improve computational efficiency. Jet Propulsion Lab. Technical Review, 1:61–70, 1971.
- M. X. Li. Hierarchical Multi-point Matching with Simultaneous Detection and Location of Breaklines. PhD thesis, KTH Stockholm, 1989.
- P. Meissl. Die innere Genauigkeit eines Punkthaufens. Österreichische Zeitschrift für Vermessungswesen, 50(5): 159–165 and 50(6): 186–194, 1962.
- E. Mikhail and R. Helmering. Recursive methods in photogrammetric data reduction. Photogrammetric Engineering, 39(9):983–989, 1973.
- E. Mittermayer. Zur Ausgleichung freier Netze. Zeitschrift für Vermessungswesen, 97(11):481–489, 1962.
- D. Rosenholm. Accuracy improvement of digital matching for elevation of digital terrain models. Int. Arch. Photogrammetry & Remote Sensing, 26(3/2):573–587, 1986.
- C. C. Slama, editor. Manual of Photo grammetry. American Society of Photogrammetry and Remote Sensing, Falls Church, Virginia, USA, 1980.
- B.P. Wrobel. Facets stereo vision (FAST vision) — a new approach to computer stereo vision and to digital photogrammetry. In ISPRS Intercommission Conf. Fast Processing of Photogrammetric Data, pages 231–258, Interlaken, Switzerland, June 1987.
Cited by
Sorted by citations
Items 901–1,000 of 1,002
Multiple motion scene reconstruction with uncalibrated cameras
Han, M., & Takeo Kanade, A. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1206517 · Cited by 33
Parallel Structure from Motion from Local Increment to Global AveragingPreprint
Zhu, S., Shen, T., Zhou, L., Zhang, R., Wang, J., Fang, T., & Quan, L. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1702.08601 · Cited by 47
Structure and Motion from Casual Videos
Zhang, Z., Cole, F. H., Li, Z., Rubinstein, M., Snavely, N., & Freeman, W. T. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19827-4_2 · Cited by 32
Map API - Scalable Decentralized Map Building for Robots
Cieslewski, T., Lynen, S., Dymczyk, M., Magnenat, S., & Siegwart, R. (2015) · doi:10.3929/ethz-a-010453509 · Cited by 33
Perriollat, M., & Bartoli, A. (2012) · Computer Animation and Virtual Worlds · doi:10.1002/cav.1478 · Cited by 32
Free your Camera: 3D Indoor Scene Understanding from Arbitrary Camera Motion
Furlan, A., Miller, S. D., Sorrenti, D. G., Fei-Fei, L., & Savarese, S. (2013) · British Machine Vision Conference (BMVC) · doi:10.5244/c.27.24 · Cited by 32
An Efficient and Accurate Method for the Relaxation of Multiview Registration Error
Shih, S.-W., Chuang, Y.-T., & Yu, T.-Y. (2008) · IEEE Transactions on Image Processing · doi:10.1109/tip.2008.921987 · Cited by 32
Toschi, I., Capra, A., Luca, L. D., Beraldin, J. ‐., & Cournoyer, L. (2014) · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprsannals-ii-5-371-2014 · Cited by 32
Degeneracies in Rolling Shutter SfM
Albl, Č., Sugimoto, A., & Pajdla, T. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46454-1_3 · Cited by 32
A New Approach to Image-Based Estimation of Food Volume
Hassannejad, H., Matrella, G., Ciampolini, P., Munari, I. D., Mordonini, M., & Cagnoni, S. (2017) · Algorithms · doi:10.3390/a10020066 · Cited by 32
Connor, D., Martin, P. G., Smith, N. T., Payne, L., Hutson, C., Payton, O., Yamashiki, Y., & Scott, T. B. (2017) · Environmental Pollution · doi:10.1016/j.envpol.2017.10.098 · Cited by 32
Crawford, A., Mueller, D. R., & Joyal, G. (2018) · Remote Sensing · doi:10.3390/rs10040575 · Cited by 32
Trajectory representation and landmark projection for continuous-time structure from motion
Ovrén, H., & Forssén, P.-E. (2019) · The International Journal of Robotics Research · doi:10.1177/0278364919839765 · Cited by 32
Robust Semantic Mapping in Challenging Environments
Cheng, J., Sun, Y., & Meng, M. Q. ‐. (2019) · Robotica · doi:10.1017/s0263574719000584 · Cited by 32
Revisiting Radial Distortion Absolute Pose
Larsson, V., Sattler, T., Kúkelová, Z., & Pollefeys, M. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00115 · Cited by 32
Automated Low-Cost Photogrammetric Acquisition of 3D Models from Small Form-Factor Artefacts
Collins, T., Woolley, S. I., Gehlken, E., & Ch’ng, E. (2019) · Electronics · doi:10.3390/electronics8121441 · Cited by 32
An Efficient Planar Bundle Adjustment Algorithm
Zhou, L., Koppel, D., Ju, H., Steinbrücker, F., & Kaess, M. (2020) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar50242.2020.00035 · Cited by 32
Robust Keyframe-based Monocular SLAM for Augmented Reality
Liu, H.-M., Zhang, G., & Bao, H. (2016) · International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar-adjunct.2016.0111 · Cited by 101
Terrain Aided Planetary UAV Localization Based on Geo-referencing
Wan, X., Shao, Y., Zhang, S., & Li, S. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3198745 · Cited by 32
Vision based localization of a small UAV for generating a large mosaic image
Suzuki, T., AMANO, Y., & HASHIZUME, T. (2010) · Society of Instrument and Control Engineers of Japan · Cited by 32
A Sliding Window Filter for Incremental SLAM
Sibley, G., Matthies, L. H., & Sukhatme, G. S. (2008) · Lecture notes in electrical engineering · doi:10.1007/978-0-387-75523-6_7 · Cited by 32
Pose and motion recovery from feature correspondences and a digital terrain map
Lerner, R., Rivlin, E., & Rotstein, H. P. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.192 · Cited by 32
Online 6 DOF augmented reality registration from natural features
Chia, K. W., Cheok, A. D., & Prince, S. J. D. (2003) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar.2002.1115123 · Cited by 32
Visual-hull reconstruction from uncalibrated and unsynchronized video streams
Sinha, S. N., & Pollefeys, M. (2004) · International Symposium on 3D Data Processing, Visualization and Transmission · doi:10.1109/tdpvt.2004.1335227 · Cited by 32
FutureMapping 2: Gaussian Belief Propagation for Spatial AIPreprint
Davison, A. J., & Ortiz, J. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.14139 · Cited by 39
Neckel, N., Fuchs, N., Birnbaum, G., Hutter, N. C., Jutila, A., Buth, L. G., von Albedyll, L., Ricker, R., & Haas, C. (2023) · Scientific Data · doi:10.1038/s41597-023-02318-5 · Cited by 32
Robotics and Artificial Intelligence
Ghallab, M., & Ingrand, F. (2020) · Springer eBooks · doi:10.1007/978-3-030-06170-8_12 · Cited by 32
From dusk till dawn: Localisation at night using artificial light sources
Nelson, P., Churchill, W., Posner, I., & Newman, P. M. (2015) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2015.7139930 · Cited by 31
Thiele, S. T., Micklethwaite, S., Bourke, P. D., Verrall, M., & Kovesi, P. D. (2015) · Journal of Structural Geology · doi:10.1016/j.jsg.2015.05.006 · Cited by 31
Projective Multiview Structure and Motion from Element-Wise Factorization
Dai, Y., Li, H., & He, M. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.20 · Cited by 31
Consistent map-based 3D localization on mobile devices
DuToit, R. C., Hesch, J. A., Nerurkar, E. D., & Roumeliotis, S. I. (2017) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2017.7989741 · Cited by 31
Accurate keyframe selection and keypoint tracking for robust visual odometry
Fanfani, M., Bellavia, F., & Colombo, C. (2016) · Machine Vision and Applications · doi:10.1007/s00138-016-0793-3 · Cited by 25
On the Two-View Geometry of Unsynchronized Cameras
Albl, Č., Kúkelová, Z., Fitzgibbon, A. W., Heller, J., Šmíd, M., & Pajdla, T. (2017) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2017.593 · Cited by 31
Self-citationImage Gradient-based Joint Direct Visual Odometry for Stereo Camera
Zhu, J. (2017) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2017/636 · Cited by 31
Utilizing semantic visual landmarks for precise vehicle navigation
Murali, V., Chiu, H.-P., Samarasekera, S., & Kumar, R. (2017) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2017.8317859 · Cited by 31
High-speed videogrammetric measurement of the deformation of shaking table multi-layer structures
Liu, X., Tong, X., Lü, W., Liu, S., Huang, B., Tang, P., & Guo, T. (2020) · Measurement · doi:10.1016/j.measurement.2020.107486 · Cited by 31
Privacy Preserving Visual SLAM
Shibuya, M., Sumikura, S., & Sakurada, K. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58542-6_7 · Cited by 32
Hafeez, J., Lee, J.-H., Kwon, S., Ha, S., Hur, G., & Lee, S.-H. (2020) · Remote Sensing · doi:10.3390/rs12233886 · Cited by 31
UAV Pose Estimation in GNSS-Denied Environment Assisted by Satellite Imagery Deep Learning Features
Hou, H., Xu, Q., Lan, C., Lu, W., Zhang, Y., Cui, Z., & Qin, J. (2020) · IEEE Access · doi:10.1109/access.2020.3048342 · Cited by 32
Large-Scale LiDAR SLAM with Factor Graph Optimization on High-Level Geometric Features
Ćwian, K., Nowicki, M., Wietrzykowski, J., & Skrzypczyński, P. (2021) · Sensors · doi:10.3390/s21103445 · Cited by 31
Wide-Baseline Multi-Camera Calibration using Person Re-Identification
Xu, Y. L., Li, Y.-J., Weng, X., & Kitani, K. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.01293 · Cited by 31
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo
Kaya, B., Kumar, S., Sarno, F., Ferrari, V., & Gool, L. V. (2022) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv51458.2022.00402 · Cited by 31
A Generic Bundle Adjustment Methodology for Indirect RPC Model Refinement of Satellite Imagery
Marí, R., de Franchis, C., Meinhardt-Llopis, E., Anger, J., & Facciolo, G. (2021) · Image Processing On Line · doi:10.5201/ipol.2021.352 · Cited by 31
Cost-Effective Mapping Using Unmanned Aerial Vehicles in Ecology Monitoring Applications
Bryson, M., Reid, A., Hung, C., Ramos, F. T., & Sukkarieh, S. (2013) · Springer tracts in advanced robotics · doi:10.1007/978-3-642-28572-1_35 · Cited by 31
Real-time camera tracking for marker-less and unprepared augmented reality environments
Xu, K., Chia, K. W., & Cheok, A. D. (2007) · Image and Vision Computing · doi:10.1016/j.imavis.2007.08.015 · Cited by 31
Detecting and dealing with hovering maneuvers in vision-aided inertial navigation systems
Kottas, D. G., Wu, K., & Roumeliotis, S. I. (2013) · 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2013.6696807 · Cited by 40
Lothe, P., Bourgeois, S., Royer, E., Dhome, M., & Naudet-Collette, S. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540127 · Cited by 31
A three-point minimal solution for panoramic stitching with lens distortion
Jin, H. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587686 · Cited by 31
Visual Inertial Navigation and Calibration
Skoglund, M. A. (2011) · Cited by 31
Bundle adjustment in large-scale 3D reconstructions based on underwater robotic surveys
Beall, C., Dellaert, F., Mahon, I., & Williams, S. B. (2011) · MTS/IEEE OCEANS Conference (OCEANS) · doi:10.1109/oceans-spain.2011.6003631 · Cited by 31
Structure-from-motion for MAV image sequence analysis with photogrammetric applications
Schönberger, J. L., Fraundorfer, F., & Frahm, J. (2014) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprsarchives-xl-3-305-2014 · Cited by 31
Joshi, N., & Zitnick, C. L. (2014) · Cited by 31
Computing MAP trajectories by representing, propagating and combining PDFs over groups
Smith, Drummond, & Roussopoulos (2003) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238637 · Cited by 31
Estimating Relative Camera Motion from the Antipodal-Epipolar Constraint
Lim, J., Barnes, N. M., & Li, H. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.113 · Cited by 31
Building Roadmaps of Minima and Transitions in Visual Models
Sminchisescu, C., & Triggs, B. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000042935.43630.46 · Cited by 31
Self-citationBuilding Roadmaps of Local Minima of Visual Models
Sminchisescu, C., & Triggs, B. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47969-4_38 · Cited by 31
Self-citationMulti-View Reconstruction and Camera Recovery using a Real or Virtual Reference Plane
Rother, C. (2003) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 35
Hybrid-MVS: Robust Multi-View Reconstruction With Hybrid Optimization of Visual and Depth Cues
Li, C., Zhou, L., Jiang, H., Zhang, Z., Xiang, X., Sun, H., Luan, Q., Bao, H., & Zhang, G. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3276753 · Cited by 31
Robust Selective Stereo SLAM without Loop Closure and Bundle Adjustment
Bellavia, F., Fanfani, M., Pazzaglia, F., & Colombo, C. (2013) · International Conference on Image Analysis and Processing · doi:10.1007/978-3-642-41181-6_47 · Cited by 34
Weighted data fusion for UAV-borne 3D mapping with camera and line laser scanner
Jutzi, B., Martin Weinmann, A., & Jochen Meidow, A. (2014) · International Journal of Image and Data Fusion · doi:10.1080/19479832.2014.889228 · Cited by 30
A constricted bundle adjustment parameterization for relative scale estimation in visual odometry
Fraundorfer, F., Scaramuzza, D., & Pollefeys, M. (2010) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2010.5509733 · Cited by 30
Monitoring the Dynamics of a Helicopter Main Rotor With High-Speed Stereophotogrammetry
Lundström, T. S., Baqersad, J., & Niezrecki, C. (2015) · Experimental Techniques · doi:10.1111/ext.12127 · Cited by 30
Dense Non-rigid Structure from Motion
Russell, C., Fayad, J. K., & Agapito, L. (2012) · International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission · doi:10.1109/3dimpvt.2012.70 · Cited by 30
TWO-STEP CAMERA CALIBRATION METHOD DEVELOPED FOR MICRO UAV'S
Gašparović, M., & Gajski, D. (2016) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xli-b1-829-2016 · Cited by 30
Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope
Birdal, T., & Şimşekli, U. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.01136 · Cited by 28
VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points
Yokozuka, M., Oishi, S., Thompson, S., & Banno, A. (2019) · Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2019.00987 · Cited by 27
Peña‐Villasenín, S., Gil‐Docampo, M., & Sanz, J. O. (2019) · Measurement · doi:10.1016/j.measurement.2019.106984 · Cited by 30
Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock Outcrops
Mikita, T., Balková, M., Bajer, A., Cibulka, M., & Patočka, Z. (2020) · Sensors · doi:10.3390/s20061663 · Cited by 30
Muglikar, M., Zhang, Z., & Scaramuzza, D. (2020) · Zurich Open Repository and Archive (University of Zurich) · doi:10.1109/icra40945.2020.9197357 · Cited by 30
Yang, A., Cui, C., Bârsan, I. A., Urtasun, R., & Wang, S. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9561481 · Cited by 31
Reduced epipolar cost for accelerated incremental SfM
Rodríguez, A. L., López-de-Teruel, P. E., & Ruiz, A. (2011) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2011.5995569 · Cited by 30
Fast Odometry Integration in Local Bundle Adjustment-Based Visual SLAM
Eudes, A., Lhuillier, M., Naudet-Collette, S., & Dhome, M. (2010) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2010.80 · Cited by 30
Matsui, K., Yamashita, A., & Kaneko, T. (2010) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2010.5509851 · Cited by 30
Automatic Reconstruction of Wide-Area Fiducial Marker Models
Klopschitz, M., & Schmalstieg, D. (2007) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar.2007.4538828 · Cited by 30
Bias reduction for stereo based motion estimation with applications to large scale visual odometry
Dubbelman, G., & Groen, F. C. A. (2009) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2009.5206519 · Cited by 30
Efficient Solution to the Epipolar Geometry for Radially Distorted Cameras
Kúkelová, Z., Heller, J., Bujnak, M., Fitzgibbon, A. W., & Pajdla, T. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.266 · Cited by 30
Self-citationImproving accuracy of feature-based RGB-D SLAM by modeling spatial uncertainty of point features
Belter, D., Nowicki, M., & Skrzypczyński, P. (2016) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2016.7487259 · Cited by 30
Projective Bundle Adjustment from Arbitrary Initialization Using the Variable Projection Method
Hong, J. H., Zach, C., Fitzgibbon, A. W., & Cipolla, R. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46448-0_29 · Cited by 30
Self-citationCertifiable relative pose estimation
García-Salguero, M., Briales, J., & González-Jiménez, J. (2021) · Image and Vision Computing · doi:10.1016/j.imavis.2021.104142 · Cited by 30
Generic and Real-Time Structure from Motion
Mouragnon, E., Lhuillier, M., Dhome, M., Dekeyser, F., & Sayd, P. (2007) · British Machine Vision Conference (BMVC) · doi:10.5244/c.21.64 · Cited by 30
Dellaert, F., Kipp, A., & Krauthausen, P. (2005) · Cited by 30
Efficient, causal camera tracking in unprepared environments
Lourakis, M., & Argyros, A. (2005) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2005.02.001 · Cited by 30
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMCPreprint
Birdal, T., Şimşekli, U., Eken, M. O., & Ilić, S. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1805.12279 · Cited by 30
Bührle, L. J., Marty, M., Eberhard, L., Stoffel, A., Hafner, E. D., & Bühler, Y. (2023) · The Cryosphere · doi:10.5194/tc-17-3383-2023 · Cited by 29
Deep geometry-aware camera self-calibration from video
Hagemann, A., Knorr, M., & Stiller, C. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00318 · Cited by 29
LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry
Chen, W., Chen, L., Wang, R., & Pollefeys, M. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01876 · Cited by 32
Scene modelling from sparse 3D data
Hilton, A. (2005) · Image and Vision Computing · doi:10.1016/j.imavis.2005.05.018 · Cited by 29
Bae, H., Walker, M., White, J., Pan, Y., Sun, Y., & Golparvar‐Fard, M. (2016) · mUX The Journal of Mobile User Experience · doi:10.1186/s13678-016-0005-0 · Cited by 29
Globally consistent alignment for planar mosaicking via topology analysis
Xia, M., Yao, J., Xie, R., Li, L., & Zhang, W. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.01.020 · Cited by 29
Polarimetric Relative Pose Estimation
Cui, Z., Larsson, V., & Pollefeys, M. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00276 · Cited by 29
Depth Sensing Beyond LiDAR Range
Zhang, K., Xie, J., Snavely, N., & Chen, Q. (2020) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr42600.2020.00176 · Cited by 29
Saif, W., & Alshibani, A. (2022) · Applied Sciences · doi:10.3390/app12031053 · Cited by 29
Caciora, T. I., Jubran, A., Ilieș, D. C., Hodor, N., Blaga, L., Ilieș, A. B., Grama, V., Sebeşan, B., Safarov, B., Ilieș, G., et al. (2023) · Remote Sensing · doi:10.3390/rs15245763 · Cited by 29
Robust autocalibration for a surveillance camera network
Liu, J., Collins, R. T., & Liu, Y. (2013) · Proceedings · doi:10.1109/wacv.2013.6475051 · Cited by 29
Yamashita, A., Matsui, K., Kawanishi, R., Kaneko, T., Murakami, T., Omori, H., Nakamura, T., & Asama, H. (2011) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2011.6181421 · Cited by 29
Fringe projection based quantitative 3D microscopy
Li, A., Peng, X., Yin, Y., Liu, X., Zhao, Q., Körner, K., & Osten, W. (2013) · Optik · doi:10.1016/j.ijleo.2013.03.070 · Cited by 29
Leonard, J. J., & Dellaert, F. (2014) · Cited by 29
3D reconstruction of complex structures with bundle adjustment: an incremental approach
Mouragnon, E., Lhuillier, M., Dhome, M., Dekeyser, F., & Sayd, P. (2006) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2006.1642166 · Cited by 29
Efficient structure from motion with weak position and orientation priors
Irschara, A., Hoppe, C., Bischof, H., & Kluckner, S. (2011) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2011.5981775 · Cited by 29
Simultaneous reconstruction and calibration for multi-view structured light scanning
Garrido-Jurado, S., Muñoz‐Salinas, R., Madrid-Cuevas, F. J., & Marín-Jiménez, M. J. (2016) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2016.05.014 · Cited by 29
Metadata
- Authors
- Triggs, B., McLauchlan, P. F., Hartley, R. I., & Fitzgibbon, A. W.
- Affiliations
- Institut national de recherche en sciences et technologies du numérique (FR)
- University of Surrey (GB)
- General Electric (United States) (US)
- University of Oxford (GB)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2000
- Volume
- 1883
- Pages
- 298-372
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W2124313187
- Cited by
- 3,988
- References
- 101
- Citations by year
- 2026: 79 · 2025: 137 · 2024: 196 · 2023: 190 · 2022: 201 · 2021: 236 · 2020: 231 · 2019: 239 · 2018: 204 · 2017: 222 · 2016: 178 · 2015: 220 · 2014: 194 · 2013: 187 · 2012: 189
- FWCI
- 41.85
- Type
- conference paper
- Language
- en
- Open access
- green
- inria.hal.science
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotics and Sensor-Based Localization
- Physical Sciences › Earth and Planetary Sciences › Geology › 3D Surveying and Cultural Heritage
- Keywords
- bundle adjustment, photogrammetry, structure from motion, visual reconstruction, robust cost function, recursive optimization, gauge invariance, quality control, nonlinear least squares
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
