In recent years, with the rapid development of projection technology such as intelligence, laser and 3D, and the breakthrough imagination in the field of robot artificial intelligence, what can we predict about the future human and machine? Artificial intelligence is a technology that simulates human intelligence, realizes the complete representation of human intelligence, and is the ultimate goal of artificial intelligence. Human intelligence starts from human senses and cognition. Therefore, human senses often become the starting point of artificial intelligence research, such as vision. For human beings, we can not only “see” the surrounding environment through our eyes, but also “recognize and understand” these things, and form “cognition and decision-making” for these things.
As the two main entrances of the AI era, computer vision is the most commercial value of the AI industry, and the intelligent voice industry is about to enter the outbreak period. First of all, computer vision has the richest application scenarios in the field of AI, which is of great commercial value. Computer vision mainly deals with high-dimensional and dense data, such as images and videos, with deeper information extraction and richer application scenarios. At present, more than 40% of AI enterprises at home and abroad gather in the field of computer vision. The market scale is the second in the world and the first in China, with a high degree of commercial maturity. In 2017, the application scale of computer vision in China is about 1.55 billion yuan, with an estimated 17-22 CAGR of over 56%. Secondly, in the field of intelligent voice, according to Gartner 2018 AI technology maturity curve, voice recognition, virtual assistant and other related intelligent voice technologies have been relatively mature after washing, and will promote the industry to an explosive period in the future. It is estimated that the whole market size will increase from $7.5 billion in 18 years to $21.5 billion in 24 years, and CAGR will reach 19%.
WIMI Hologram Cloud (NASDAQ:WIMI) focuses on computer vision holographic cloud services. WIMI Hologram Cloud (NASDAQ:WIMI) is a comprehensive technology provider of holographic cloud, covering many aspects of AR technology, including holographic computer vision AI synthesis, holographic visual presentation, holographic interactive software development, holographic AR online and offline advertising, holographic arsdk payment, 5g holographic communication software development, holographic face recognition development, holographic AI face change development. Its business application scenarios are mainly concentrated in five professional fields, such as home entertainment, light theater, performance system, commercial publishing system and advertising display system.
WIMI Hologram Cloud (NASDAQ:WIMI)’s leading holographic AR content making function is built around image acquisition, object recognition, automatic image processing and computer vision technology. WIMI’s software engineering team and visual design team work closely to continuously promote these visualization related technologies, and use them to design and produce innovative holographic AR content. By providing a real-time computer vision algorithm for accurate attitude estimation, scene recognition and tracking can be performed in a few seconds. This cutting-edge algorithm also allows WIMI to perform pixel based visualization of photo level real high-resolution rendering. Frost & Sullivan said that although most of the peer companies may identify and capture 40 to 50 image data within a specific space unit, the number of data blocks that can be collected by WIMI can reach 500 to 550; the image processing speed of WIMI is 80% faster than the industry average, thus improving the operation efficiency. In the process of scene reconstruction, WIMI’s automatic image processing tool can remove the noise and enhance the features of the original images, so as to create the best holographic AR design with industry-leading simulation.
The development of holographic 3D face recognition software is based on the image detection and recognition technology of holography features, template matching holography detection technology, and video processing and recognition technology based on deep learning and training. The traditional 2D face recognition technology is a recognition technology based on facial features, which captures information from facial images or facial video streams, and automatically detects and tracks the target face; the holographic 3D face recognition technology of WIMI is a combination of holographic image capture and 3D portrait recognition technology. WIMI focuses on the development and application of software technology, and has AI, machine recognition technology, machine learning, model theory and video imaging processing technology. Holographic 3D face recognition technology is a collection technology that uses structured light and infrared light. The collected feature points can be more than 30000; the traditional 2D face recognition technology can collect less than 1000 feature points. And 3D technology is less affected by the surrounding environment, which is expected to overcome many problems found in traditional 2D face recognition technology, such as light, posture, occlusion, dynamic recognition and facial expression.
At the end of last year, it was said that Facebook renamed the mysterious department building 8 as portal, and transferred some research work to the Facebook reality labs (FRL) department. The head of the FRL department is Michael Abrash, Facebook’s chief scientist. His main research projects include brain computer interface, wearable, flexible skin and so on.
Abrash has expressed his preference for holographic AR technology for many times. He deeply believes that this technology will become the main way of work, entertainment and communication in the next 50 years, just like personal computers and smartphones have been changing the world since 45 years ago.
Abrash also hopes to share their beliefs through these articles, let those who are hesitant about holographic AR change their views, and understand how the public wants to integrate holographic AR into daily life through communication.
It is reported that the labs of Facebook FRL department are distributed in many cities in the United States, including Redmond, Washington, Sosalito and Pittsburgh. Each lab is responsible for different research, but they are also committed to promoting the development of holographic AR next generation computing platform. FRL has invested a lot of resources in the research of immersive platform and gathered a large number of excellent talents. This is one of the best places for holographic AR practice research.
In 2016 and 2018, FRL built Mugsy and socieoption3d mobile capture studios, and collected a large number of face and body data respectively, and then made an automatic scheme to create a virtual image with these data. Recently, they use machine learning technology to realize the real-time generation of super realistic virtual image.
It is reported that Mugsy is FRL’s special studio for facial expression shooting. It looks like a dome. 132 Canon cameras and 350 light sources are installed on the walls and ceiling. They are all aimed at a chair in the center of the studio. Taking a face here is like taking a mugshot, so it’s named Mugsy.
The cameras used in the two mobile capture studios need to capture 1GB of data per second, that is, they can capture up to 180gb of data each second. FRL uses these data to train neural networks to match voice, muscle changes, facial expressions and body movements from multiple perspectives. The more data is captured, the higher the efficiency of decoding / encoding of “deep appearance”, the face rendering model, can be more suitable for home holographic AR head display.
Social scene is very promising to become a killer application of ar. if Facebook can first launch a social platform based on realistic virtual image, maybe it can once again sweep the social media market.
In addition, it can also be imagined that by combining this technology with film and television media, it may be possible to produce realistic and interactive holographic AR films / performances. Actors can use real-time performance or AI to perform for others. Is this form the AR narrative language they have been looking for?
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