Training a cascade classifier with image labels also as features

asked 2013-11-11 09:17:42 -0500

asaakius gravatar image

Does OpenCV's cascaded classifier allow for the training of images using not only features that the classifier itself exracts from the image, but also using the tags or annotations on each image. For example, I have around 600 images to use as positive samples to train the classifier, but I need to annotate each image with a short vector of additional features, such as ("aerial view", "planar view", or "city background" or "landscape background").

Is it possible to build a classifier that combines dynamically discovered features and annotations?

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