SEMI-SUPERVISED METHOD FOR TRAINING MULTIPLE PATTERN RECOGNITION AND REGISTRATION TOOL MODELS

摘要

A system and method for training multiple pattern recognition and registration models commences with a first pattern model. The model is trained from multiple images. Composite models can be used to improve robustness or model small differences in appearance of a target region. Composite models combine data from noisy training images showing instances of underlying patterns to build a single model. A pattern recognition and registration model is generated that spans the entire range of appearances of the target pattern in the set of training images. The set of pattern models can be implemented as either separate instances of pattern finding models or as a pattern multi-model. The underlying models can be standard pattern finding models or pattern finding composite models, or a combination of both.

主权项

1. A method for training a pattern recognition and registration multi-model, the method comprising the steps of:
providing at least one initial training image having a region specifying a pattern to be trained, the at least one image being provided from a database containing a plurality of training images; training a first pattern model from the initial training image and region and adding this to the output multi-model; iterating over the remaining training images so that for each image,
(i) an additional pattern model may be trained,(ii) a metric for the combination of the first and additional model may be scored over the remaining training images in the database; adding the high scoring additional pattern model or models to the output multi-model.