View source for 20240046593. MODELLING METHOD FOR MAKING A VIRTUAL MODEL OF A USER'S HEAD simplified abstract (LUXOTTICA GROUP S.P.A.)

=MODELLING METHOD FOR MAKING A VIRTUAL MODEL OF A USER'S HEAD=


==Organization Name==

[[:Category:LUXOTTICA GROUP S.P.A.|LUXOTTICA GROUP S.P.A.]]


[[Category:LUXOTTICA GROUP S.P.A.]]

==Inventor(s)==

[[:Category:Cristian Cascetta of Milano (IT)|Cristian Cascetta of Milano (IT)]][[Category:Cristian Cascetta of Milano (IT)]]

[[:Category:Luca Mazzocchi of Legnano (MI) (IT)|Luca Mazzocchi of Legnano (MI) (IT)]][[Category:Luca Mazzocchi of Legnano (MI) (IT)]]

[[:Category:Fabio Mazzarella of Busto Arsizio (VA) (IT)|Fabio Mazzarella of Busto Arsizio (VA) (IT)]][[Category:Fabio Mazzarella of Busto Arsizio (VA) (IT)]]

[[:Category:Kamal Fahmy Salama of Monza (IT)|Kamal Fahmy Salama of Monza (IT)]][[Category:Kamal Fahmy Salama of Monza (IT)]]

[[:Category:Filippo Bruno of Milano (IT)|Filippo Bruno of Milano (IT)]][[Category:Filippo Bruno of Milano (IT)]]

==MODELLING METHOD FOR MAKING A VIRTUAL MODEL OF A USER'S HEAD - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240046593 titled 'MODELLING METHOD FOR MAKING A VIRTUAL MODEL OF A USER'S HEAD

==Simplified Explanation==

The abstract describes a method for creating a virtual model of a user's head using depth images. The method involves acquiring multiple depth images of the user's head in different poses, processing the images, and localizing marker points on the images. The head is then estimated by determining the yaw, pitch, and roll angles, as well as the positioning along three axes. A transformation of the head pose is performed, and the marker points are projected onto a cloud of points. The clouds of points are iteratively associated in pairs to obtain a synthesis point cloud, which is then aligned. Finally, a statistical head model is deformed using a minimization algorithm.

* Acquire depth images of the user's head in different poses
* Process the acquired depth images
* Localize marker points on the two-dimensional images
* Estimate the head pose by determining yaw, pitch, and roll angles and positioning along three axes
* Perform a transformation of the head pose
* Project the marker points onto a cloud of points
* Iteratively associate pairs of clouds of points to obtain a synthesis point cloud
* Align the synthesis point cloud
* Deform the statistical head model using a minimization algorithm

Potential applications of this technology:
* Virtual reality and augmented reality applications
* Facial recognition and biometric systems
* Gaming and animation industry
* Medical imaging and diagnostics

Problems solved by this technology:
* Accurately capturing and modeling the shape and pose of a user's head
* Improving realism and accuracy in virtual and augmented reality experiences
* Enhancing facial recognition and biometric systems by creating more detailed models

Benefits of this technology:
* Improved user experience in virtual and augmented reality applications
* More accurate and reliable facial recognition and biometric systems
* Advanced medical imaging and diagnostics capabilities


==Original Abstract Submitted==

a modelling method for making a virtual model of a user's head includes operations of: acquiring a plurality of depth images of a user's head in different head poses; processing the acquired depth images; localising on the two-dimensional images first marker points corresponding to characteristics of the head; estimating the head by estimating the yaw, pitch and roll angles of the head and the positioning of the head along three axes of a reference system of cartesian axes for each of the two-dimensional images of the depth images, performing a transformation of the head pose; projecting the first marker points located in the respective cloud of points; associating iteratively in pairs the clouds of points until obtaining a cloud of synthesis points; aligning the cloud of synthesis points; and deforming the statistical head model by means of a minimization algorithm of a predefined cost function.



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