Amir Akbarzadeh

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Amir Akbarzadeh trusts overall

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

  1. David Nistér
  2. Brian Curless
  3. David Gallup
  4. S. M. Seitz

Who trusts Amir Akbarzadeh overall

  1. Yasutaka Furukawa
  2. Yao Yao
  3. Xiaoyan Hu
  4. Carlos Hernández
  5. Zixin Luo
  6. Abhishek Kar

Papers from Amir Akbarzadeh's perspective

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

  1. Fast approximate energy minimization via graph cuts
  2. Handling occlusions in dense multi-view stereo (Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001)
  3. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
  4. Multi-View Stereo Revisited (Computer Vision and Pattern Recognition)
  5. An Iterative Image Registration Technique with an Application to Stereo Vision
  6. A volumetric method for building complex models from range images
  7. Real-Time Plane-Sweeping Stereo with Multiple Sweeping Directions (2007 IEEE Conference on Computer Vision and Pattern Recognition)
  8. A space-sweep approach to true multi-image matching
  9. Good features to track
  10. Putting Objects in Perspective

Their papers