Luke Wallace
Environmental Engineering · 2012–2017
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 22 citations into it; #2,608 of 5,479 by trust here, #1,260 by citations
- Geology — 14 citations into it; #242 of 687 by trust here, #171 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Aerospace Engineering — 9 citations into it; #4,277 of 6,421 by trust here, #4,570 by citations
Whom Luke Wallace trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- David Nistér
- Rudolph van der Merwe
- Eric A. Wan
- Vladislav Gavrilets
- John L. Crassidis
- Arko Lucieer
- Darren Turner
- Anttoni Jaakkola
- Jonathan P. Dandois
Who trusts Luke Wallace overall
- Lin Cao
- H. Yao
- Jonathan P. Dandois
- M. Nowak
- R. Hall
- Hao Liu
- Rongjun Qin
- Arko Lucieer
- Erle C. Ellis
- Guijun Yang
Papers from Luke Wallace's perspective
Ordered by how strongly the researchers Luke Wallace trusts endorse each paper. Same corpus, a different order for every researcher.
- Distinctive Image Features from Scale-Invariant Keypoints
- Object recognition from local scale-invariant features
- Modeling the World from Internet Photo Collections (International Journal of Computer Vision)
- Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle (IEEE Transactions on Geoscience and Remote Sensing)
- Online Submission ID: 0184 Photo Tourism: Exploring Photo Collections in 3D
- An efficient solution to the five-point relative pose problem (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- The unscented Kalman filter for nonlinear estimation
- Autonomous aerobatic maneuvering of miniature helicopters
- Development of a UAV-LiDAR System with Application to Forest Inventory (Remote Sensing)
- An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds (Remote Sensing)
Their papers
- Forestry applications of UAVs in Europe: a review (2017) — 455 citations
- Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds (2016) — 685 citations
- Direct Georeferencing of Ultrahigh-Resolution UAV Imagery (2014) — 371 citations
- Development of a UAV-LiDAR System with Application to Forest Inventory (2012) — 713 citations