Phil F. Culverhouse

Computer Vision and Pattern Recognition · 2011–2013

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Phil F. Culverhouse trusts

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

  1. David G. Lowe (in Computer Vision and Pattern Recognition)
  2. Matthijs C. Dorst (in Computer Vision and Pattern Recognition)

Papers from Phil F. Culverhouse's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  3. Active contours without edges
  4. Snakes: Active contour models
  5. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
  6. Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation (International Journal of Computer Vision)
  7. A comparison of underwater visual distance estimates made by scuba divers and a stereo-video system: implications for underwater visual census of reef fish abundance
  8. A Review of Underwater Stereo-Image Measurement for Marine Biology and Ecology Applications
  9. The accuracy and precision of underwater measurements of length and maximum body depth of southern bluefin tuna (Thunnus maccoyii) with a stereo-video camera system
  10. Distinctive Image Features from Scale-Invariant Keypoints Abstract by Matthijs Dorst Based on the paper by

Their papers