Structure from motion without correspondence
By Frank Dellaert, S. M. Seitz, C. Thorpe, Sebastian Thrun. Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2000
353 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/8de5640e43c8c826eff4fd3a4e6d57499d1230c2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Jitendra Malik
- Dacheng Tao
- Abhinav Kumar Gupta
- Xiaogang Wang
- Kristen Grauman
- Trevor Darrell
- Li Fei-Fei
Citations in the corpus
- Vision-based autonomous landing of an unmanned aerial vehicle (2002, background): “The vision problem that we consider here is a special case of the ego-motion problem where all the feature points lie on a planar surface (in this case the landing pad) [1].”
- Visually guided landing of an unmanned aerial vehicle (2003, background): “The vision problem being solved here is a special case of the ego-motion problem where all the feature points lie on a planar surface (in this case the landing pad) [2].”
- Correspondence-free Structure from Motion (2007, methodology): “Among the approaches which do not use spatiotemporal derivatives and thus can afford any amount of motion, the closest to ours are the ones by Dellaert et al. (2000), Antone and Teller (2002), and Roy and Cox (1996).”
- The structure-from-motion reconstruction pipeline - a survey with focus on short image sequences (2010, background): “Though there are also approaches, which work without given correspondences [11], the information on corresponding points is sufficient to reconstruct points of the object’s surface, because correct correspondences have to meet certain geometrical constraints.”
- Development of a UAV-LiDAR System with Application to Forest Inventory (2012, methodology): “The SfM technique allows the construction of the 3D structure of imaged objects as well as the estimation of the exterior camera orientation by analysing motion signals over time [38].”
- Two Body Problem: Collaborative Visual Task Completion (2019, background): “Simultaneous localization and mapping [84, 74, 24, 12, 67, 77] consider mapping in isolation.”
- A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks (2020, methodology): “Methods entailing structure-from-motion and SLAM [91,80,25,13,72,81] were used to build maps.”
- Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation (2014, background): “There is a very large literature on structure from motion, for example see [23,7,10,21].”