The DGHT combines the Generalized Hough Transform (GHT) with a discriminative training procedure to generate GHT shape models with individual positive and ...
[PDF] Model Interpolation for Eye Localization Using the ... - EMIS
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Abstract: The Discriminative Generalized Hough Transform (DGHT) is a general method for the localization of arbitrary objects with well-defined shape, ...
The Discriminative Generalized Hough Transform (DGHT) is a general method for the localization of arbitrary objects with well-defined shape, which has been ...
Abstract: The Discriminative Generalized Hough Transform (DGHT) is a general method for the localization of arbitrary objects with well-defined shape, ...
This assigns individual positive and negative weights to the shape model points, reflecting important structures of the target object and confusable shapes, ...
[PDF] Eye Localization Using The Discriminative Generalized Hough ...
fhahmann.de › papers › dagm2012
Abstract. The Discriminative Generalized Hough Transform (DGHT) has been successfully introduced as a general method for the localization.
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Model interpolation for eye localization using the ... - dblp
dblp.uni-trier.de › conf › HahmannRBS12
Bibliographic details on Model interpolation for eye localization using the Discriminative Generalized Hough Transform.
This can be used to combine the localization results of different object land- marks such as mouth, nose, and eyes. Similar to Convolutional Neural Networks ( ...
Model interpolation for eye localization using the Discriminative Generalized Hough Transform. BIOSIG 2012: 1-12. [c9]. view. electronic edition via DOI ...
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Abstract: The Discriminative Generalized Hough Transform (DGHT) is a general and robust automated object localization method, which has been shown to ...