A discriminative algorithm for indoor place recognition based on clustering of features and images.
Ke WangXuexiong LongRui-Feng LiLijun ZhaoPublished in: Int. J. Autom. Comput. (2017)
Keyphrases
- k means
- segmentation algorithm
- extracted features
- image features
- clustering method
- geometric constraints
- data clustering
- test images
- matching process
- region of interest
- clustering algorithm
- matching algorithm
- learning algorithm
- detection algorithm
- hierarchical clustering
- image data
- image processing algorithms
- principal components
- distance metric
- segmentation method
- image matching
- method for face recognition
- image statistics
- original images
- feature extraction
- similarity function
- keypoints
- input data
- edge detection
- object detection
- image retrieval
- multiscale
- spectral clustering
- feature detectors
- expectation maximization
- unsupervised learning
- discriminative classifiers
- linear features
- discriminating power