Electronic device for detecting feature information from face and operating method thereof

An operating method of an electronic device, comprising:

• generating a training data set comprising a plurality of training images and a ground truth (GT) of feature information corresponding to the plurality of training images;
• and
• training, based on the training data set, an artificial intelligence (AI) model such that the AI model outputs the feature information corresponding to the plurality of training images in response to the training images being received,
• wherein the plurality of training images comprises:
• a reference image comprising a reference target object, and augmented images which are images augmented from the reference image in a three-dimensional (3D) space based on an error range that is based on settings of a normalized virtual camera to reduce an error in at least one of a position and a pose of a target object comprised in a normalized image that is potentially caused by the settings of the normalized virtual camera,
• wherein the GT of the feature information corresponding to the plurality of training images comprises:
• a GT of feature information corresponding to the reference image, and augmented GTs which are GTs augmented from the GT of the feature information corresponding to the reference image in the 3D space.

An electronic device comprising:

• a memory comprising instructions;
• and
• a processor configured to execute the instructions,
• wherein the instructions, when executed individually and/or collectively by the processor, cause the electronic device to:
• acquire, via a camera, an input image comprising a target object;
• set a normalized virtual camera for generating a normalized image that preserves a perspective projection feature from the input image;
• generate, based on the normalized virtual camera, the normalized image comprising the perspective projection feature that comprises the target object;
• input the normalized image comprising the perspective projection feature to an artificial intelligence (AI) model trained to extract feature information of the target object;
• and
• transform the feature information of the target object output from the AI model into a first coordinate system of the camera, using a spatial transformation relationship between the camera and the normalized virtual camera.