Point-to-hyperplane RGB-D pose estimation: Fusing photometric and geometric measurements.
Fernando I. Ireta MuñozAndrew I. ComportPublished in: IROS (2016)
Keyphrases
- hyperplane
- normal vectors
- data points
- color information
- support vector
- feature space
- maximal margin
- input space
- support vector machine
- principal components
- training samples
- incremental learning algorithm
- linear classifiers
- linearly separable
- kernel function
- color images
- principal direction
- support vectors
- classification procedure
- pose estimation
- photometric information
- linear separability
- neural network
- geometric transformations
- svm classifier
- sample size
- image sequences
- image processing
- machine learning