A computer vision approach for weeds identification through Support Vector Machines.
Alberto TellaecheGonzalo PajaresXavier P. Burgos-ArtizzuAngela RibeiroPublished in: Appl. Soft Comput. (2011)
Keyphrases
- computer vision
- support vector
- learning machines
- large margin classifiers
- classification accuracy
- kernel function
- pattern recognition
- object recognition
- machine intelligence
- machine vision systems
- image understanding
- loss function
- signal processing
- vision system
- face detection
- pose estimation
- image processing
- logistic regression
- perceptual organization
- cross validation
- motion estimation
- optical flow
- generalization ability
- machine learning
- computer vision algorithms
- maximum margin
- image features
- scene analysis
- binary classification
- computer graphics
- action recognition
- shape matching
- image matching
- computer vision systems
- automatic identification
- svm classifier
- object detection