Mehdi Ravanbakskh

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mehdi Ravanbakskh trusts overall

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

  1. David G. Lowe
  2. Matthijs C. Dorst
  3. Tony F. Chan
  4. Daniel Scharstein

Papers from Mehdi Ravanbakskh's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Snakes: Active contour models
  3. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  4. Active contours without edges
  5. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
  6. 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
  7. Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation (International Journal of Computer Vision)
  8. Distinctive Image Features from Scale-Invariant Keypoints Abstract by Matthijs Dorst Based on the paper by
  9. A Review of Underwater Stereo-Image Measurement for Marine Biology and Ecology Applications
  10. 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

Their papers