John-Eric Dufour

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John-Eric Dufour trusts overall

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

  1. François Hild
  2. Stéphane Roux
  3. G. Besnard
  4. Stephane Avril

Papers from John-Eric Dufour's perspective

Ordered by how strongly the researchers John-Eric Dufour trusts endorse each paper. Same corpus, a different order for every researcher.

  1. “Finite-Element” Displacement Fields Analysis from Digital Images: Application to Portevin–Le Châtelier Bands
  2. Comparison of Local and Global Approaches to Digital Image Correlation
  3. Overview of Identification Methods of Mechanical Parameters Based on Full-field Measurements
  4. Isogeometric Analysis Toward Integration of CAD and CAE
  5. A Method for Registration of 3-D Shapes
  6. The NURBS Book
  7. Three-Dimensional Computer Vision: A Geometric Viewpoint
  8. Stress intensity factor measurements from digital image correlation: post-processing and integrated approaches
  9. Inverse problems in elasticity
  10. Mixed numerical–experimental technique for orthotropic parameter identification using biaxial tensile tests on cruciform specimens

Their papers