Quantifying the reliability of feature-based object recognition.
Anna RudshteinMichael LindenbaumPublished in: ICPR (1996)
Keyphrases
- object recognition
- image features
- computer vision
- d objects
- natural images
- object detection
- image understanding
- highly reliable
- visual recognition
- object classification
- template matching
- image representation
- object categories
- feature matching
- object class
- scene understanding
- scene classification
- constrained search
- data sets
- artificial intelligence
- genetic algorithm
- model based object recognition
- real time
- visual object recognition
- recognizing objects
- biologically motivated
- software reliability
- databases
- failure rate
- object categorization
- bag of words
- information systems
- image interpretation
- case study
- face recognition
- feature vectors
- unsupervised learning
- keypoints