Obstacle Location Classification and Self-Localization by Using a Mobile Omnidirectional Camera Based on Tracked Floor Boundary Points and Tracked Scale-Rotation Invariant Feature Points.
Tsuyoshi TasakiSeiji TokuraTakafumi SonouraFumio OzakiNobuto MatsuhiraPublished in: J. Robotics Mechatronics (2011)
Keyphrases
- feature points
- rotation invariant
- image sequences
- feature vectors
- epipolar geometry
- image correspondences
- texture features
- point correspondences
- camera motion
- feature matching
- affine transformation
- training set
- machine learning
- texture classification
- texture analysis
- three dimensional
- face images
- local binary pattern
- feature extraction
- feature space
- optical flow
- facial features
- background subtraction
- gabor filters
- decision trees
- feature selection