Fabio Menna

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fabio Menna trusts overall

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

  1. Yasutaka Furukawa
  2. Daniel Scharstein
  3. Richard Szeliski
  4. S. M. Seitz
  5. Carlos Hernández Esteban

Papers from Fabio Menna's perspective

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

  1. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  2. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
  3. Silhouette and stereo fusion for 3D object modeling
  4. Accurate, Dense, and Robust Multi-View Stereopsis
  5. Multiple View Geometry in Computer Vision
  6. On benchmarking camera calibration and multi-view stereo for high resolution imagery (2008 IEEE Conference on Computer Vision and Pattern Recognition)
  7. A space-sweep approach to true multi-image matching
  8. Detailed Real-Time Urban 3D Reconstruction from Video
  9. Computer Vision - Algorithms and Applications
  10. Towards Internet-scale multi-view stereo

Their papers