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The face is not deformed when taking selfies! vivo S9 is equipped with a front dual camera: 44 million pixels + 105 ° ultra-wide-angle lens

At 7:30 tonight, vivo brought a new generation of thin and light 5G models-vivo S9.

This machine has not only become vivo’s thinnest 5G mobile phone, as the main S series of camera experience, the vivo S9 also brings the ultimate front selfie effect.

First of all, in order to avoid the obvious deformation of the face when taking selfies, the vivo S9 places the front camera in the center to achieve better selfie effects.

The face is not deformed when taking selfies! vivo S9 is equipped with a front dual camera: 44 million pixels + 105 ° ultra-wide-angle lens

Vivo S9 uses a front dual-camera solution

In terms of hardware specifications, the vivo S9 adopts a dual-camera solution, is equipped with an industry-leading 44 million front sensor, supports AF autofocus function, and in order to bring a larger viewing range, the machine also has an 8 million pixel super The wide-angle portrait lens has a 105° viewing angle, bringing a clearer, more accurate, and more complete self-portrait effect.

In addition, the vivo S9 also brings a trilogy of fill light and AI polar night mode for night selfies.

The face is not deformed when taking selfies! vivo S9 is equipped with a front dual camera: 44 million pixels + 105 ° ultra-wide-angle lens

vivo S9 equipped with bipolar night soft light

Among them, the light supplement trilogy has multiple light supplement effects. It pioneered a hidden bipolar night soft light, equipped with two LED supplement lights in the top frame, which can continue to fill light when it is lit, or Flash fill light, with f/2.0 large aperture and ISOCELL 2.0 technology for the main camera, achieves a smaller light loss in the photosensitive link.

The AI ​​Polar Night Mode uses AI brightening and AI noise reduction to improve the performance of the face in a dark environment, and learns the facial features of the face through AI, and intelligently repairs the details of the facial features of the portrait.

At the same time, in the background area outside the portrait, the algorithm has also been optimized to make the final image of the light and dark levels clearer.

Please indicate the source for reprinting: Fast Technology

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