Anomaly detection for synthetic diamond grain using monocular depth estimation.
Kazuki FujiwaraPublished in: Comput. Ind. Eng. (2024)
Keyphrases
- anomaly detection
- depth estimation
- monocular images
- real scenes
- stereo vision
- depth map
- intrusion detection
- depth estimates
- stereo matching
- depth information
- dynamic scenes
- detecting anomalies
- image sequences
- super resolution
- stereo pair
- scene understanding
- pose estimation
- intrusion detection system
- stereo images
- feature matching
- detect anomalies
- one class support vector machines
- unsupervised learning
- multi view
- pattern recognition
- three dimensional
- image processing
- disparity map
- augmented reality
- specular reflection
- ground truth
- feature space
- computer vision