Polyhedral Conic Classifiers for Computer Vision Applications and Open Set Recognition.
Hakan CevikalpHalil SaglamlarPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2021)
Keyphrases
- computer vision
- object recognition
- pattern recognition
- recognition accuracy
- action recognition
- handwritten digit recognition
- improve recognition accuracy
- recognition rate
- high level vision
- support vector
- image analysis
- camera calibration
- image matching
- computer graphics
- linear classifiers
- image understanding
- feature selection
- object detection
- feature extraction
- vision system
- image sequences
- svm classifier
- machine learning
- training data
- facial action units
- optical flow
- training samples
- recognition algorithm
- three dimensional objects
- image processing
- automatic recognition
- highly discriminative
- training set
- activity analysis
- recognition process
- shape matching
- convex hull
- classification algorithm
- face recognition
- pose estimation
- machine learning algorithms
- naive bayes