Pierre Vacher

Computer Vision and Pattern Recognition · 2000–2011

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre Vacher trusts overall

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

  1. Michel Grédiac

Who trusts Pierre Vacher overall

  1. L. Stixrude
  2. N. M. Shapiro
  3. C. Lithgow‐Bertelloni
  4. M. Ritzwoller
  5. I. Artemieva
  6. B. Steinberger
  7. M. An
  8. Fabrice Pierron
  9. C. Currie

Papers from Pierre Vacher's perspective

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

  1. Systematic errors in digital image correlation due to undermatched subset shape functions
  2. Deformation measurements by digital image correlation: Implementation of a second-order displacement gradient
  3. The use of full-field measurement methods in composite material characterization: interest and limitations
  4. Full-field measurements of heterogeneous deformation patterns on polymeric foams using digital image correlation
  5. Mechanical measurements at the micron and nanometer scales
  6. Systematic errors in digital image correlation caused by intensity interpolation
  7. Investigation of crack growth in functionally graded materials using digital image correlation
  8. Advances in Two-Dimensional and Three-Dimensional Computer Vision
  9. An experimental investigation of the large-strain tensile behavior of neat and rubber-toughened polycarbonate
  10. Extended digital image correlation with crack shape optimization

Their papers