Probabilistic Image Models for Object Recognition and Pose Estimation.
Joachim HorneggerHeinrich NiemannPublished in: State-of-the-Art in Content-Based Image and Video Retrieval (1999)
Keyphrases
- object recognition and pose estimation
- image data
- input image
- single image
- probabilistic model
- image content
- random fields
- multiscale
- image features
- image classification
- image retrieval
- image pixels
- image regions
- edge detection
- bayesian framework
- feature points
- vector field
- prior probabilities
- image representation
- high resolution
- image analysis
- image segmentation
- template matching
- test images
- image matching
- statistical model
- machine learning
- generative model
- region of interest
- posterior probability
- energy function
- spatial information
- gray level
- visual features
- pose estimation
- super resolution
- segmentation method
- image database
- digital images
- image set
- object recognition
- bayesian networks
- similarity measure
- image statistics
- keypoints