Bob Sumner

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Bob Sumner trusts overall

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

  1. Richard Szeliski
  2. Daniel Scharstein

Who trusts Bob Sumner overall

  1. Ira Kemelmacher-Shlizerman
  2. Shahram Izadi

Papers from Bob Sumner's perspective

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

  1. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
  2. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  3. Poisson surface reconstruction
  4. Real-Time Visibility-Based Fusion of Depth Maps
  5. Global stereo reconstruction under second order smoothness priors
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. A volumetric method for building complex models from range images
  8. Fast approximate energy minimization via graph cuts
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Handling occlusions in dense multi-view stereo (Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001)

Their papers