Thomson Licensing

Nezha Kabbaj

Francois Le Clerc

Xavier Burgos

The disclosure relates to a method for classifying an object of a current image, a plurality of first landmarks representative of the shape of the object being associated with the current image, a first unique identifier being associated with each first landmark. According to the disclosure, the method includes, for at least a first landmark, a step of obtaining at least a first descriptor describing an area of the current image having the at least first selected landmark. Then, the first landmark is selected according to its first identifier, and when its first identifier corresponds to a second identifier of a second landmark, a second descriptor is used in a classifier for classifying the object. Finally, the method determines information representative of confidence of the shape according to the first descriptor and according to weighting information associated with the second descriptor.

Method and device for classifying an object of an image and corresponding computer program product and computer-readable medium

The disclosure relates to a method for determining the shape (S) of an object represented in a current image, a plurality of landmarks being associated with the object. According to the disclosure, the method includes determining a plurality of features (F) representative of the current image, and the features being determined from at least a part of the plurality of landmarks. The method further obtains information (S) representative of the shape of the object by using at least one parameter (P) representative of an estimation of the pose of the object in the current image, the at least one parameter being obtained by implementing a multivariate regression applied to at least a part of the set of features.

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Rennes, France

Nezha Kabbaj