Abstract: Reverberation techniques for 3D audio are disclosed. In an example method, a three-dimensional (3D) reverberation is applied to a sound object placed at a sound object position in a sound room. The sound object originates from a sound object position. A sound object signal is received. A 3D spatial room response (SRR) signal is computed corresponding to the user-selected position. A time convolution operation is performed between an audio signal of the sound object signal and the computed SRR value to generate a reverberated signal.

Abstract: Reverberation techniques for 3D audio are disclosed. In an example method, a three-dimensional (3D) reverberation is applied to a sound object placed at a sound object position in a sound room. The sound object originates from a sound object position. A sound object signal is received. A 3D spatial room response (SRR) signal is computed corresponding to the user-selected position. A time convolution operation is performed between an audio signal of the sound object signal and the computed SRR value to generate a reverberated signal.

Abstract: A method is described for determining eye location on a frontal face digital image in order to validate the frontal face as such and determine points of reference. The method consists of the following steps: obtain a frontal face digital image that is W pixels wide and H pixels high in grayscale, where the top left vertex of the digital image is considered to be the reference source; detect each eye, starting from a search subimage of the frontal face digital image, delivering approximate coordinates if both eyes have been detected, or an arbitrary predetermined value to indicate no eye detection; locate the iris of each eye, if both eyes have been detected, starting from the approximate coordinates, validating the frontal face digital image by delivering eye positions; or, validate the frontal face digital image if one or both eyes have not been detected by submitting a search subimage defined by an area resulting from centering a square of area L in the original image, where L=0.

Abstract: A method is described for determining eye location on a frontal face digital image in order to validate the frontal face as such and determine points of reference. The method consists of the following steps: obtain a frontal face digital image that is W pixels wide and H pixels high in grayscale, where the top left vertex of the digital image is considered to be the reference source; detect each eye, starting from a search subimage of the frontal face digital image, delivering approximate coordinates if both eyes have been detected, or an arbitrary predetermined value to indicate no eye detection; locate the iris of each eye, if both eyes have been detected, starting from the approximate coordinates, validating the frontal face digital image by delivering eye positions; or, validate the frontal face digital image if one or both eyes have not been detected by submitting a search subimage defined by an area resulting from centering a square of area L in the original image, where L=0.