Google Successfully Developed Facial Deformation Algorithms

This updated guide examines Google Successfully Developed Facial Deformation Algorithms and organizes the essential facts, background, and practical takeaways in clear American English.

Of course this research is not just for 'fun'. All relevant data has been taken by smart phone manufacturers to create more selfie camera systems. All compete to create the best quality products to dominate the market and that is the positive side of competition.

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Indeed, perhaps there is no need to be too knowledgeable about the smartphone market, you can easily realize that manufacturers are becoming more and more interested in selfie cameras: More 'dots', more technology, more advanced features, and more, more sensors. However, the current selfie camera system on the smartphone, even if it is of quality, contains an uncomfortable weakness that cannot be overcome, it is impossible to preserve the exact proportion of the photographer in the photo. photo, or can you understand that your face in selfie has been 'distorted' compared to reality. The problem with 'headache' manufacturers is that this weakness cannot be solved by using more 'dots' sensors.

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The "face distortion" phenomenon in selfie

However, this may soon change thanks to researchers' achievements at Google. Google's team, along with experts from the Massachusetts Institute of Technology (MIT), has successfully developed a face deformation algorithm for selfie camera systems.

The study was named by scientists: 'Distortion-Free Wide-Angle Portraits on Camera Phones' (take a short shot of unpopular wide-angle portraits on phone cameras), mainly discussing a technique the math that they have developed as well as shed some light on how it solves the problem of face distortion in selfie camera photos. Here's what the paper says about this new algorithm:

'By providing a portrait photo as input data, we have built the problem around how to optimize and create an algorithm that identifies local adaptive content and links. It is suitable for stereoscopic projection of facial areas, while seamlessly developing with perspective views on the background. Our new algorithm can effectively and reliably represent a large group of objects in the image. The proposed algorithm is fully automated and works at the same rate of interaction on mobile platforms. We have demonstrated promising results on a series of FOVs (see and receive range on electronic sensors through lens systems) from 70 degrees to 120 degrees. "

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Compare results between input and after images by algorithmic processing

It's great to see smart phone manufacturers particularly excited about the new algorithm of Mountain View giant as soon as the first information is released. However, because Google is a major factor in developing algorithms, it is likely that they will be the first to use it on their commercial products, specifically Pixel smartphones. In the future, creating a competitive advantage is not small in the smartphone market which is already 'stuffy'.

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The video describes the work of Google and MIT scientists