BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification.
Takumi KobayashiPublished in: CVPR (2013)
Keyphrases
- image classification
- feature extraction
- bag of words
- feature set
- hog features
- image representation
- visual words
- visual features
- pattern classification
- feature vectors
- wavelet transform
- object detection
- histograms of oriented gradients
- preprocessing
- image features
- image processing
- bag of features
- local binary pattern
- face recognition
- feature selection
- gradient orientation
- pedestrian detection
- discriminant analysis
- sparse representation
- action recognition
- dimensionality reduction
- particle swarm optimization pso
- texture classification
- frequency domain
- quantum inspired
- computer vision
- bacterial foraging
- classification accuracy
- early vision
- image gradient
- human detection
- support vector machine svm
- extracted features
- color histogram
- n gram
- texture analysis