MEMORY EFFICIENT SEMI-GLOBAL MATCHING

32 citations as recorded by crossref.

1. Deformation Tracking in 3D Point Clouds Via Statistical Sampling of Direct Cloud-to-Cloud Distances B. Jafari et al. https://doi.org/10.1007/s10921-017-0444-2
2. Rapid Reconstruction of a Three-Dimensional Mesh Model Based on Oblique Images in the Internet of Things D. Ma et al. https://doi.org/10.1109/ACCESS.2018.2876508
3. A 1920 $\times $ 1080 30-frames/s 2.3 TOPS/W Stereo-Depth Processor for Energy-Efficient Autonomous Navigation of Micro Aerial Vehicles Z. Li et al. https://doi.org/10.1109/JSSC.2017.2751501
4. Algorithm and VLSI Architecture Co-Design on Efficient Semi-Global Stereo Matching X. Zhang et al. https://doi.org/10.1109/TCSVT.2019.2957275
5. Memory-Efficient Parametric Semiglobal Matching Y. Lee et al. https://doi.org/10.1109/LSP.2017.2778306
6. Passthrough+ G. Chaurasia et al. https://doi.org/10.1145/3384540
7. Real-time stereo semi-global matching for video processing using previous incremental information J. Toledo et al. https://doi.org/10.1007/s11554-021-01175-y
8. Dense Stereo Matching With Edge-Constrained Penalty Tuning T. Chuang et al. https://doi.org/10.1109/LGRS.2018.2805916
9. Unmanned Aerial Vehicle-Based Photogrammetric 3D Mapping: A survey of techniques, applications, and challenges S. Jiang et al. https://doi.org/10.1109/MGRS.2021.3122248
10. RapidPIV: full flow-field kHz PIV for real-time display and control S. Bollt et al. https://doi.org/10.1088/1361-6501/ae124d
11. Hierarchical Dense Structure-from-Motion Reconstructions for Infrastructure Condition Assessment A. Khaloo & D. Lattanzi https://doi.org/10.1061/(ASCE)CP.1943-5487.0000616
12. A Hardware-Efficient Architecture for Accurate Real-Time Disparity Map Estimation C. Ttofis et al. https://doi.org/10.1145/2629699
13. As-planar-as-possible depth map estimation M. Park & K. Yoon https://doi.org/10.1016/j.cviu.2019.02.001
14. A Memory- and Accuracy-Aware Gaussian Parameter-Based Stereo Matching Using Confidence Measure Y. Lee & C. Kyung https://doi.org/10.1109/TPAMI.2019.2959613
15. On the confidence of stereo matching in a deep-learning era: a quantitative evaluation M. Poggi et al. https://doi.org/10.1109/TPAMI.2021.3069706
16. A critical review of UAS-based aerial photography and photogrammetry of Cahokia’s Grand Plaza J. Lambert & B. Jacob Skousen https://doi.org/10.1016/j.jasrep.2022.103789
17. Hardware-efficient algorithm and architecture design with memory and complexity reduction for semi-global matching C. Chang et al. https://doi.org/10.1016/j.vlsi.2023.05.005
18. Portable Mini Turntable for Close-Range Photogrammetry: A Preliminary Study A. Thomas et al. https://doi.org/10.1088/1757-899X/607/1/012011
19. Low Complexity, Hardware-Efficient Neighbor-Guided SGM Optical Flow for Low-Power Mobile Vision Applications Z. Li et al. https://doi.org/10.1109/TCSVT.2018.2854284
20. A High-Throughput Depth Estimation Processor for Accurate Semiglobal Stereo Matching Using Pipelined Inter-Pixel Aggregation Y. Lee & H. Kim https://doi.org/10.1109/TCSVT.2021.3061200
21. Comparison of multispectral airborne laser scanning and stereo matching of aerial images as a single sensor solution to forest inventories by tree species M. Kukkonen et al. https://doi.org/10.1016/j.rse.2019.05.027
22. Damage Detection and Finite-Element Model Updating of Structural Components through Point Cloud Analysis K. Ghahremani et al. https://doi.org/10.1061/(ASCE)AS.1943-5525.0000885
23. Structure from motion used to revive archived aerial photographs for geomorphological analysis: an example from Mount Meager volcano, British Columbia, Canada G. Roberti et al. https://doi.org/10.1139/cjes-2020-0140
24. A 4K$\times$ 2K@60fps Multifunctional Video Display Processor for High Perceptual Image Quality H. Wang et al. https://doi.org/10.1109/TCSI.2019.2921943
25. A high-throughput and low-storage stereo vision accelerator with dependency-resolving strided aggregation for 8-path semi-global matching Y. Rong et al. https://doi.org/10.1016/j.mejo.2024.106156
26. Comparing canopy height estimates from satellite-based photogrammetry, airborne laser scanning and field measurements across Australian production and conservation eucalypt forests K. Olive et al. https://doi.org/10.1080/13416979.2020.1735671
27. Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring F. Ioli et al. https://doi.org/10.1007/s41064-023-00272-w
28. 3D point cloud denoising via Gaussian processes regression I. Kim & S. Singh https://doi.org/10.1007/s00371-025-04049-7
29. A 1920 $\times$ 1080 25-Frames/s 2.4-TOPS/W Low-Power 6-D Vision Processor for Unified Optical Flow and Stereo Depth With Semi-Global Matching Z. Li et al. https://doi.org/10.1109/JSSC.2018.2885559
30. Classification of photogrammetric point clouds obtained from stereo pairs of satellite images with PHOTOMOD DPS for solving urban planning tasks D. Vasilenko & R. Permyakov https://doi.org/10.22389/0016-7126-2025-1018-4-40-47
31. State of the art in high density image matching F. Remondino et al. https://doi.org/10.1111/phor.12063
32. Integrating Modular Pipelines with End-to-End Learning: A Hybrid Approach for Robust and Reliable Autonomous Driving Systems L. Rosero et al. https://doi.org/10.3390/s24072097