Daniel F. García

Computer Vision and Pattern Recognition · 2016

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 Daniel F. García trusts

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

  1. David G. Lowe (in Computer Vision and Pattern Recognition)
  2. John F. Canny (in Computer Vision and Pattern Recognition)
  3. Takeo Kanade (in Computer Vision and Pattern Recognition)

Papers from Daniel F. García's perspective

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

  1. A Combined Corner and Edge Detector
  2. Distinctive Image Features from Scale-Invariant Keypoints
  3. An Iterative Image Registration Technique with an Application to Stereo Vision
  4. Speeded-Up Robust Features (SURF)
  5. A Computational Approach to Edge Detection
  6. Line Extraction in 2D Range Images for Mobile Robotics (J. Intell. Robotic Syst.)
  7. The third Industrial Revolution
  8. Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications (Italian National Conference on Sensors)
  9. Overview of three-dimensional shape measurement using optical methods
  10. A comparative review of camera calibrating methods with accuracy evaluation (Pattern Recognition)

Their papers