FIT PREDICTION BASED ON DETECTION OF METRIC FEATURES IN IMAGE DATA

A system and method of predicting fit of a wearable device from image data obtained by a computing device together with position and orientation of the computing device is provided. The system and method may include capturing a series of frames of image data, and detecting one or more fixed features...

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Bibliographische Detailangaben
Hauptverfasser:	Bhargava, Mayank, Aleem, Idris Syed, Kulkarni, Sushant Umesh
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING CONTACT LENSES COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT MEASURING MEASURING ANGLES MEASURING AREAS MEASURING IRREGULARITIES OF SURFACES OR CONTOURS MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION,OR SHOCK OPTICS PHYSICS SPECTACLES SUNGLASSES OR GOGGLES INSOFAR AS THEY HAVE THE SAME FEATURESAS SPECTACLES TESTING
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Beschreibung
Zusammenfassung:	A system and method of predicting fit of a wearable device from image data obtained by a computing device together with position and orientation of the computing device is provided. The system and method may include capturing a series of frames of image data, and detecting one or more fixed features in the series of frames of image data. Position and orientation data associated with the capture of the image data is combined with the position data related to the one or more fixed features, to extract depth data from the series of frames of image data. A three-dimensional model is generated based on the extracted depth data. The three-dimensional model and/or key points extracted therefrom, can be processed by a simulator and/or a machine learning model to predict fit of the wearable device for the user.