RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection.
Gong ChengPeicheng ZhouJunwei HanPublished in: CVPR (2016)
Keyphrases
- rotation invariant
- convolutional neural networks
- object detection
- rotation invariance
- convolutional network
- highly discriminative
- texture analysis
- scale invariance
- texture classification
- local binary pattern
- face detection
- feature extraction
- computer vision
- discriminative ability
- coarse to fine
- dominant orientation
- background subtraction
- feature vectors
- object recognition
- multi class
- object categories
- texture image retrieval
- steerable pyramid
- shape context
- multiresolution
- texture features
- zernike moments
- thinning algorithm
- discriminative power
- texture descriptors
- texture images
- gabor filters
- pattern recognition
- multiscale
- machine learning
- standard deviation
- human faces
- gaussian mixture model