Chris Engels, Henrik Stewénius, David Nistér. Bundle Adjustment Rules. Photogrammetric Computer Vision (PCV), September 2006.
D. Nistér and H. Stewénius, A Minimal solution to the generalized 3-point pose problem, accepted to Journal of Mathematical Imaging and Vision, 2006.
A. Akbarzadeh, J.-M. Frahm, P. Mordohai, B.
Clipp, C. Engels, D. Gallup, P. Merrell, M. Phelps, S. Sinha, B. Talton, L.
Wang, Q. Yang, H. Stewenius, R. Yang, G. Welch, H. Towles, D. Nistér and M.
Pollefeys, Towards Urban 3D Reconstruction
From Video, Invited paper, Third International Symposium on 3D Data Processing,
Visualization and Transmission (3DPVT 2006).
L. Wang, L. Miao, M.
Gong, R. Yang and D. Nistér, High Quality Real-time Stereo using Adaptive
Cost Aggregation and Dynamic Programming, Third
International Symposium on 3D Data Processing, Visualization and Transmission
(3DPVT 2006).
David Nistér and Chris Engels. Visually Estimated Motion of Vehicle-Mounted Cameras with Global Uncertainty. SPIE Defense and Security Symposium, Unmanned Systems Technology VIII, April 2006.
D. Nistér and H. Stewénius, Scalable
Recognition with a Vocabulary Tree,
E. Grossmann, E-J Lee, P. Hislop, D. Nistér
and H. Stewénius, Are two rotational flows sufficient to calibrate a smooth
non-parametric sensor?,
Q. Yang, L. Wang, R.
Yang, H. Stewénius and D. Nistér, Stereo Matching with Color-Weighted
Correlation, Hierarchical Belief Propagation and Occlusion Handling, accepted to CVPR 2006.
David Nistér, Oleg Naroditsky and
James Bergen, Visual Odometry for Ground Vehicle Applications, inaugural issue
of Journal of Field Robotics, Volume
23, Number 1, January 2006.
H. Stewénius, C. Engels and D. Nistér, Recent Developments on Direct Relative
Orientation,
Executables related to this publication can be found here
D. Nistér, Preemptive RANSAC for Live Structure and Motion Estimation, Machine Vision and Applications, Volume 16, Issue 5, Dec 2005, Pages 321–329, 2005.
D. Nistér and F. Schaffalitzky, Four Points in Two or Three Calibrated Views:
Theory and Practice, International
Journal of Computer Vision (IJCV), special issue with selected papers from ECCV
2004, to appear.
Qing-Xiong Yang, Matt Steele, David Nistér and Christopher Jaynes,
Learning the Probability of Correspondences without Ground Truth, ICCV 2005, to appear.
Henrik Stewénius, Frederik Schaffalitzky and David Nistér, How Hard is
Three-View Triangulation Really?, ICCV
2005.
David Nistér, Henrik Stewénius and Etienne Grossman, Non-Parametric Self-Calibration, ICCV 2005.
H. Stewénius, D. Nistér, M. Oskarsson and K. Åström, Solutions to Minimal Generalized Relative Pose Problems, Omnivis 2005
C. Engels and D. Nistér, Global Uncertainty in Epipolar Geometry via Fully and Partially Data-Driven Sampling. Towards Benchmarking Automated Calibration, Orientation and Surface Reconstruction from Images (BenCOS), October 2005.
Henrik
Stewénius, David Nistér, Fredrik Kahl, Frederik Schaffalitzky: A Minimal
Solution for Relative Pose with Unknown Focal Length, Proc. IEEE Computer
Society Conference on Computer Vision and Pattern Recognition (CVPR 2005),
Executables related to this
publication can be found here
W. Zhao, D.
Nistér and S. Hsu, Alignment of Continuous Video onto 3D Point Clouds, IEEE
Transactions on Pattern Analysis and Machine Intelligence (PAMI),
27(8):1305-1318, 2005.
D. Nistér, The Soft Reset Problem: A Challenge to the Community, Keynote address at the Computer Vision Winter Workshop (CVWW 2005).
D. Nistér, Untwisting a projective reconstruction, International Journal of Computer Vision, 60(2):165-183, 2004.
D. Nistér, Automatic passive recovery of 3D from images and video, Invited Paper, Second International Symposium on 3D Data Processing, Visualization & Transmission (3DPVT04), Thessaloniki, Greece, September 2004.
D. Nistér, An efficient solution to the five-point relative pose problem, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 26(6):756-770, June 2004.
D. Nistér, A Minimal solution to the generalised 3-point pose problem, Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), Oral Presentation Acceptance Ratio 6.4%, Volume 1, pages 560-567, 2004.
D. Nistér, O. Naroditsky and J. Bergen, Visual odometry, Proc. IEEE Computer
Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), Acceptance
Ratio 22.9%, Volume 1, pages 652-659, 2004.
W. Zhao, D. Nistér and S. Hsu, Alignment of Continuous Video onto 3D Point
Clouds, Proc. IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (CVPR 2004), Oral Presentation Acceptance Ratio 6.4%,
Volume 2, pages 964-971, 2004.
D. Nistér and F. Schaffalitzky, What do four points in two calibrated images tell us about the epipoles?, Proc. European Conference on Computer Vision (ECCV 2004), Oral Presentation Acceptance Ratio 7.4%, Springer Lecture Notes on Computer Science 3022:41-57, 2004.
D. Nistér. Preemptive RANSAC for live structure and motion estimation, In Proc. IEEE International Conference on Computer Vision (ICCV 2003), Acceptance Ratio 20%, pages 199-206, 2003.
D. Nistér, An efficient solution to the five-point relative pose problem, In Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), Oral Presentation Acceptance Ratio 5%, Volume 2, pages. 195-202, 2003.
D. Nistér and J.
Bergen, Real-time video-based pose and 3D estimation for ground vehicle
applications, In Proc. 1st Collaborative Technology Alliances
Conference, Robotics, pages 21-25, College Park,
D. Nistér, K. Keis, S. Lindquist and A. Hagfeldt. A detailed analysis of ambipolar diffusion in nanostructured metal oxide films, Solar Energy Materials and Solar Cells, 73:411-423, 2002.
H. Sawhney, A.
Arpa, R. Kumar,
D. Nistér, Reprojection of visual hulls as a calibration constraint, Sarnoff Corporation Technical Report, November 2001.
D. Nistér, Calibration with robust use of cheirality by quasi-affine reconstruction of the set of camera projection centres, In Proc. IEEE International Conference on Computer Vision (ICCV 2001), Acceptance Ratio <30%, Volume2, pages 116-123, 2001.
D. Nistér, Frame decimation for structure and motion. In Proc. 2nd Workshop on Structure from Multiple Images of Large Environments (SMILE2000), Springer Lecture Notes on Computer Science, Volume 2018, pages 17-34, 2001.
D. Nistér.
Automatic dense reconstruction from uncalibrated video sequences, PhD Thesis,
Royal Institute of Technology KTH,
D. Nistér, Median fusion of Bayesian depth maps for automatic model creation, part of PhD thesis, 2001.
D. Nistér, Reconstruction from uncalibrated sequences with a hierarchy of trifocal tensors. In Proc. European Conference on Computer Vision (ECCV 2000), Acceptance Ratio <30%, Volume 1, pages 649-663, 2000.
D. Nistér and C. Christopoulos, Lossless region of interest coding, Signal Processing, 78(1):1-17, October 1999.
D. Nistér, Embedded Image Coding, Licentiate Thesis,
D. Nistér and C. Christopoulos, An embedded DCT-based still image coding algorithm, IEEE Signal Processing Letters, 5(6):135-137, June 1998.
D. Nistér and C. Christopoulos, Lossless region of interest with a naturally progressive still image coding algorithm, In Proc. IEEE International Conference on Image Processing (ICIP), Volume III, pages 856-860, 1998.
D. Nistér and C. Christopoulos, An embedded DCT-based still image coding algorithm, In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Volume 5, pages 2617-2620, 1998.
D. Nistér and M. Jändel, A characterization of compact game data, Ericsson Technical Report, 1998.
D. Nistér,
Advanced Still Image Coding, MSc Thesis,
Note: The top 3 computer vision conferences (ICCV, ECCV, CVPR) are highly competitive with low acceptance rates of <30%. ICCV and ECCV have CiteSeer impact factor rankings in the top 5% and 7%, respectively, of all computer science journals and conferences.