Dimensionality reduction through visual data resampling for low-storage loop-closure detection.
Konstantinos A. TsintotasShan AnIoannis Tsampikos PapapetrosFotios K. KonstantinidisGeorgios Ch. SirakoulisAntonios GasteratosPublished in: IST (2022)
Keyphrases
- visual data
- dimensionality reduction
- high dimensional data
- loop closure
- high dimensional
- visual information
- video data
- multimedia data
- contextual information
- visual features
- error accumulation
- video sequences
- low dimensional
- data points
- bundle adjustment
- feature selection
- three dimensional
- object detection
- visual content
- kalman filter
- multimedia
- outdoor environments
- human actions
- feature extraction
- pattern recognition
- data analysis
- image features
- principal component analysis