Michael Gassner
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it; #19,386 of 21,575 by trust here, #14,151 by citations
- Aerospace Engineering — 28 citations into it; #5,558 of 6,421 by trust here, #3,388 by citations
- Geology — 7 citations into it
Whom Michael Gassner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Michael Gassner overall
Papers from Michael Gassner's perspective
Ordered by how strongly the researchers Michael Gassner trusts endorse each paper. Same corpus, a different order for every researcher.
- A benchmark for the evaluation of RGB-D SLAM systems
- DTAM: Dense tracking and mapping in real-time
- An evaluation of the RGB-D SLAM system
- An Iterative Image Registration Technique with an Application to Stereo Vision
- Robust odometry estimation for RGB-D cameras
- LSD-SLAM: Large-Scale Direct Monocular SLAM
- Direct Sparse Odometry (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
- SVO: Fast semi-direct monocular visual odometry
- Lucas-Kanade 20 Years On: A Unifying Framework (International Journal of Computer Vision)
Their papers
- SVO: Semidirect Visual Odometry for Monocular and Multicamera Systems (2017) — 887 citations