Liping Yu

Computer Vision and Pattern Recognition · 2013–2018

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Liping Yu trusts overall

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

  1. Bing Pan

Who trusts Liping Yu overall

  1. Bing Pan
  2. Qamar Din
  3. Michel Grédiac

Papers from Liping Yu's perspective

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

  1. Image Correlation for Shape, Motion and Deformation Measurements
  2. Quality assessment of speckle patterns for digital image correlation
  3. Mean intensity gradient: An effective global parameter for quality assessment of the speckle patterns used in digital image correlation
  4. Advances in Computational Stereo (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  5. Systematic errors in digital image correlation due to undermatched subset shape functions
  6. An Evaluation of Digital Image Correlation Criteria for Strain Mapping Applications
  7. Lucas-Kanade 20 Years On: A Unifying Framework (International Journal of Computer Vision)
  8. Equivalence and efficiency of image alignment algorithms (Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001)
  9. Full-field measurements of heterogeneous deformation patterns on polymeric foams using digital image correlation
  10. A Flexible New Technique for Camera Calibration

Their papers