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

Whom Michael Gassner trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jakob J. Engel
  2. David Nistér
  3. Jürgen Sturm
  4. Daniel Cremers
  5. Davide Scaramuzza
  6. Andrew J. Davison

Who trusts Michael Gassner overall

  1. Davide Scaramuzza

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.

  1. A benchmark for the evaluation of RGB-D SLAM systems
  2. DTAM: Dense tracking and mapping in real-time
  3. An evaluation of the RGB-D SLAM system
  4. An Iterative Image Registration Technique with an Application to Stereo Vision
  5. Robust odometry estimation for RGB-D cameras
  6. LSD-SLAM: Large-Scale Direct Monocular SLAM
  7. Direct Sparse Odometry (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  8. A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
  9. SVO: Fast semi-direct monocular visual odometry
  10. Lucas-Kanade 20 Years On: A Unifying Framework (International Journal of Computer Vision)

Their papers