A two-layer Conditional Random Field for the classification of partially occluded objects
نویسندگان
چکیده
Conditional Random Fields (CRF) are among the most popular techniques for image labelling because of their flexibility in modelling dependencies between the labels and the image features. This paper proposes a novel CRFframework for image labeling problems which is capable to classify partially occluded objects. Our approach is evaluated on aerial near-vertical images as well as on urban street-view images and compared with another methods.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1307.3043 شماره
صفحات -
تاریخ انتشار 2013