Image cutting, splicing and outputting method based on sound source angle and face coordinate
An output method and image cropping technology, applied in the multimedia field, can solve problems such as high cost, insufficient direct switching of viewing angles, and time-consuming movement of the pan/tilt.
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Embodiment 1
[0029] The image cropping and splicing output method based on the sound source angle and the human face coordinates includes the following steps:
[0030] S101. Obtain image signal data information, and detect whether there is a sound source signal, and if there is no sound source signal, perform step S102;
[0031] Two or more cameras acquire image signal data information, and detect whether there is a sound source signal, and if there is no sound source signal, go to step S102.
[0032] S102. Perform face recognition on the image signal data information, and determine the coordinates of the face and the length and width of the face;
[0033] If there is no sound source signal, perform face recognition on the image signal data information, identify the face feature signal in the image signal, and determine the face coordinates and face length and width.
[0034] For example: the coordinates of the first face are (x'1, y'1), the length and width of the first face are x'1 and ...
Embodiment 2
[0040] The image cropping and splicing output method based on the sound source angle and the human face coordinates includes the following steps:
[0041] S201. Obtain image signal data information, and detect whether there is a sound source signal, and if there is a sound source signal, perform step S202;
[0042] Two or more cameras acquire image signal data information, and detect whether there is a sound source signal, and if there is a sound source signal, perform step S202.
[0043] S202. Perform sound source angle calculation processing on the sound source signal to determine the sound source angle;
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