Hierarchical Model-Based Motion Estimation
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Prior work [48] indicates a positive correlation between input data noise and the advantage of adding hypotheses, which might also apply to input data variance.
“Previous results from [48] suggest a positive correlation between noise in the input data and benefits of additional hypotheses which may also translate to variance in the input data.”
From Unsupervised Deep Visual-Inertial Odometry with Online Error Correction for RGB-D Imagery (2020) · cites this paper as [48]
Cites
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Visual tracking and recognition using appearance-adaptive models in particle filters
Zhou, S. K., Chellappa, R., & Moghaddam, B. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.836152 · Cited by 668 · see citing works
Unsupervised Deep Visual-Inertial Odometry with Online Error Correction for RGB-D Imagery
Shamwell, E. J., Lindgren, K., Leung, S., & Nothwang, W. D. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2909895 · Cited by 86 · see citing works
Shamwell, E. J., Leung, S., & Nothwang, W. D. (2018) · 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2018.8593573 · Cited by 41 · see citing works
- Authors
- Anandan, P., Bergen, J. R., Hanna, K. J., & Hingorani, R.
- Affiliations
- Princeton University (US)
- AT&T (United States) (US)
- Venue
- Motion Analysis and Image Sequence Processing
- Publisher
- Springer US
- Published
- 1993
- Pages
- 1-22
- OpenAlex
- W4231985393
- Cited by
- 193
- References
- 19
- Citations by year
- 2024: 1 · 2023: 5 · 2021: 3 · 2020: 3 · 2019: 4 · 2018: 1 · 2017: 4 · 2016: 4 · 2015: 4 · 2014: 8 · 2013: 7 · 2012: 7
- FWCI
- 13.30
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Stabilization
- Keywords
- motion estimation, hierarchical models, optical flow, affine transformation, parametric transformation, range data, image registration, data compression, vehicle navigation
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.
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