Stereo correspondence by dynamic programming on a tree
By Olga Veksler. Computer Vision and Pattern Recognition, 2005
362 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Ophthalmology
View Paper: https://www.semanticscholar.org/paper/11e3856c5f02ea0f6e3134086f8ba629ced587c6
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
- Ming-Hsuan Yang
- Xiaogang Wang
- Kaiming He
- Dacheng Tao
- Qingxiong Yang
- Andrew Zisserman
- Jitendra Malik
In Ophthalmology
- M. Brady
- Bei He
- Mark Jenkinson
- Antonios Gasteratos
- Qingxiong Yang
- Mattias Paul Heinrich
- Julia Anne Schnabel
- Georgios Sirakoulis
Citations in the corpus
- Review of Stereo Vision Algorithms: From Software to Hardware (2008, methodology): “On the contrary, the algorithm proposed in (Veksler 2005) applies the DP method not across individual scanlines but to a tree structure.”
- High-Accuracy Stereo Matching Based on Adaptive Ground Control Points (2015, methodology): “Traditional global optimization algorithms were proven to be suitable to compute the global minimum, such as dynamic programming (DP) [8], Belief Propagation (BP) [9] and Graph Cuts (GC) [10].”
- Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Stereo Processing by Semi-global Matching and Mutual Information (methodology): “This is avoided by tree based DP approaches [12], [16].”
- A non-local cost aggregation method for stereo matching (2012, methodology): “Popular global methods include dynamic programming [2, 23], belief propagation [13, 14, 15, 16] and graph cuts [3].”
- Fast cost-volume filtering for visual correspondence and beyond (2011, background): “Fast approximations (e.g. [26]) usually come at the price of loss in quality, due to less-global optimization schema.”
- Real-time Global Stereo Matching Using Hierarchical Belief Propagation (2006, background): “Although new algorithms [20] [21] have been proposed to reduce the effect, it can hardly be eliminated.”
- MSM: a new flexible framework for Multimodal Surface Matching☆ (2014, neutral): “…al., 2013)) including combinatorial (Boykov et al., 2001; Ko- 17 AC C EP TE D M AN U SC R IP T modakis and Tziritas, 2007; Komodakis et al., 2008) or message passing (Felzenszwalb and Huttenlocher, 2004; Kolmogorov, 2006; Shekhovtsov et al., 2008; Wainwright et al., 2002; Veksler, 2005) solutions.”
- MRF-Based Deformable Registration and Ventilation Estimation of Lung CT (2013, methodology): “A similar approach has been used for stereo correspondence [26], however other methods (LBP, TRW-S) perform better in that specific application.”