Intel Corporation

Andradige Pubudu Madhawa Silva

Omesh Tickoo

Srenivas Varadarajan

Parual Datta

Erin Carroll

Nikita Tiwari

A mechanism is described for facilitating age classification of humans using image depth and human pose according to one embodiment. A method of embodiments, as described herein, includes facilitating, by one or more cameras of a computing device, capturing of a video stream of a scene having persons, and computing overall-depth torso lengths of the persons based on depth torso lengths of the persons. The method may further include comparing the overall-depth torso lengths with a predetermined threshold value representing a separation age between adults and children, and classifying a first set of the persons as adults if a first set of the overall-depth torso lengths associated with the first set of persons is greater than the threshold value.

Age classification of humans based on image depth and human pose

Techniques are provided for Head-Related Transfer Function (HRTF) measurement and sharing for audio applications. A methodology implementing the techniques according to an embodiment includes receiving a plurality of three-dimensional (3D)images of a user. The images are generated by a 3D camera or other image capture device, and each image is associated with a unique viewing angle or perspective of the user. The method also includes generating a 3D volume based on the 3D images and then generating a 3D mesh surface based on the 3D volume. The method further includes computing HRTFs associated with the user, based on the 3D mesh surface. Additionally, techniques are disclosed to provide a platform for sharing of the calculated HRTFs between audio applications executing on different devices.

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Hillsboro, OR, United States of America

Andradige Pubudu Madhawa Silva