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AssigneeYoti Holding Limited
InventorsSymeon Nikitidis, Francisco Angel Garcia Rodriguez, Erlend Davidson, Samuel Neugber
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An image processing component is trained to process 2D images of human body parts, in order to extract depth information about the human body parts captured therein. Image processing parameters are learned during the training from a training set of captured 3D training images, each 3D training image of a human body part and captured using 3D image capture equipment and comprising 2D image data and corresponding depth data, by: processing the 2D image data of each 3D training image according to the image processing parameters, so as to compute an image processing output for comparison with the corresponding depth data of that 3D image, and adapting the image processing parameters in order to match the image processing outputs to the corresponding depth data, thereby training the image processing component to extract depth information from 2D images of human body parts.
A computer-implemented method of training an image processing component to extract depth information from 2D images, the method comprising:
The method of claim 11, wherein each of the 3D training images is captured from a user of a service or protected function provided by a computer system, and processed in order to render that service or function accessible to the user, the 3D training image additionally being retained for the purpose of training the image processing component.
One or more non-transitory computer-readable storage media containing executable instructions, wherein the executable instructions, when executed on one or more hardware processors, cause the one or more hardware processors to implement:
A computer system comprising:
Dependencies are inferred from the claim text.