A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision.
Theodoros GeorgiouYu LiuWei ChenMichael S. LewPublished in: Int. J. Multim. Inf. Retr. (2020)
Keyphrases
- high dimensional data
- deep learning
- feature descriptors
- computer vision
- image matching
- image features
- dimensionality reduction
- unsupervised learning
- machine learning
- high dimensional
- nearest neighbor
- low dimensional
- data sets
- feature points
- data points
- shape features
- similarity search
- object recognition
- data analysis
- object detection
- pattern recognition
- local binary pattern
- shape matching
- image processing
- face recognition
- keypoints
- shape descriptors
- neural network
- distance metric
- face detection
- image sequences
- image patches
- sparse representation
- decision trees
- input data
- active learning