Andrew Haden

Computer Vision and Pattern Recognition · 2018

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 Andrew Haden trusts overall

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

  1. Anastasios I. Mourikis
  2. Mingyang Li

Papers from Andrew Haden's perspective

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

  1. Good features to track
  2. A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation (Proceedings 2007 IEEE International Conference on Robotics and Automation)
  3. ORB: An efficient alternative to SIFT or SURF
  4. High-precision, consistent EKF-based visual-inertial odometry (Int. J. Robotics Res.)
  5. Unmanned Rotorcraft Systems
  6. GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects (Information Fusion)
  7. A Combined Corner and Edge Detector
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Multiple View Geometry in Computer Vision
  10. An Iterative Image Registration Technique with an Application to Stereo Vision

Their papers