Markus Ulrich

Computer Vision and Pattern Recognition · 2007–2010

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Ulrich trusts overall

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

  1. Ajmal Saeed Mian
  2. Andrew E. Johnson
  3. Tahir Rabbani
  4. Radu Bogdan Rusu

Who trusts Markus Ulrich overall

  1. Tomas Hodan
  2. Frank Michel
  3. Qian-Yi Zhou
  4. Oncel Tuzel
  5. Kilian Batzner
  6. Yann Labb'e
  7. Paul Bergmann
  8. Heng Yang
  9. Stefan Hinterstoißer
  10. Gu Wang

Papers from Markus Ulrich's perspective

Ordered by how strongly the researchers Markus Ulrich trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Structural Indexing: Efficient 3-D Object Recognition
  2. COSMOS - A Representation Scheme for 3D Free-Form Objects
  3. Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
  4. Robust global registration (Eurographics Symposium on Geometry Processing)
  5. Point Signatures: A New Representation for 3D Object Recognition
  6. Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
  7. On the Repeatability and Quality of Keypoints for Local Feature-based 3D Object Retrieval from Cluttered Scenes
  8. Efficient RANSAC for Point‐Cloud Shape Detection
  9. Fast Point Feature Histograms (FPFH) for 3D registration
  10. 3D free-form object recognition in range images using local surface patches (Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.)

Their papers