Justin A. Blaber

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Justin A. Blaber trusts overall

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

  1. H. Schreier
  2. Simon Baker
  3. Bing Pan
  4. Michael David Abràmoff
  5. Michael A. Sutton
  6. John P. Lewis
  7. Iain Matthews
  8. W. Thielicke
  9. Huimin Xie
  10. Philippe Thévenaz

Who trusts Justin A. Blaber overall

  1. Bing Pan
  2. S. Stanier
  3. Michel Grédiac
  4. Yu Chen
  5. Frédéric Sur
  6. K. Jansen

Papers from Justin A. Blaber's perspective

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

  1. Lucas-Kanade 20 Years On: A Unifying Framework (International Journal of Computer Vision)
  2. Deformation measurements by digital image correlation: Implementation of a second-order displacement gradient
  3. Systematic errors in digital image correlation due to undermatched subset shape functions
  4. Systematic errors in digital image correlation caused by intensity interpolation
  5. Full-field measurements of heterogeneous deformation patterns on polymeric foams using digital image correlation
  6. Interpolation Revisited (IEEE Trans. Medical Imaging)
  7. Cubic convolution interpolation for digital image processing
  8. Ncorr: Open-Source 2D Digital Image Correlation Matlab Software (Experimental mechanics)
  9. Experimental analysis of deformation mechanisms in a closed-cell aluminum alloy foam
  10. Equivalence of digital image correlation criteria for pattern matching. (Applied Optics)

Their papers