Computer Vision, Immersive Technology, and Digital Content

Luck is What Happens

When Preparation Meets Opportunity.

- Overview

The COVID-19 pandemic has accelerated the adoption of digital technologies at a faster speed than we could have imagined. 

As business undergoes change, companies are realizing the power of technology to unify dispersed, global talent. Virtual learning and telehealth are also becoming more advanced and could deliver benefits throughout the world.

Because new technologies are developing so quickly, it's difficult to predict exactly what the future internet will look like, but there's no doubt that the latest iteration of the web will transform nearly every part of our economy and society.
 

As organizations look to take advantage of virtual worlds and the opportunities they present, they can explore these virtual worlds inside the studio, in the real world, and in the context of their businesses, providing a range of benefits that include: 

• Working alongside the designers and architects of virtual worlds, learning the new generation of creative tools, and simulation technologies that enable Unlimited Realities. 

• Creating hyper-realistic, physically-accurate digital twins that simulate natural environments, physical structures, industrial operations, transportation networks, including the humans and robots and AI agents working inside them, to accelerate design and planning cycles for all business paradigms. 

• Building shared virtual experiences that convene audiences for collaborative work, recreation, or education through AR/VR or mixed reality. 

• Exploring virtual world economies where transactions in digital currencies and assets will power an explosion of virtual services, experiences, and goods. 

• Enabling virtual world strategies that maximize positive impact on the planet, advancing client’s environment, social and corporate governance initiatives.

- Digital Content and Technologies

Our world has countless images and videos from the built-in cameras of our mobile devices alone. But while images can include photos and videos, it can also mean data from thermal or infrared sensors and other sources. Along with a tremendous amount of visual data (more than 3 billion images are shared online every day), the computing power required to analyze the data is now accessible and more affordable. 

This is a trivial problem for a human, even young children. We require at least the same capabilities from computers in order to unlock our images and videos.  

• A person can describe the content of a photograph they have seen once.
• A person can summarize a video that they have only seen once.
• A person can recognize a face that they have only seen once before. 

Sharing engaging and immersive visual content such as photos, videos, 360-degree and real-time augmented experiences is at the heart of staying connected and building community. Developing and refining advanced real-time computational photography and image understanding techniques that allow us to enhance our images and video, track and enhance faces, bodies and the 3D world, and capture and share the 3D world with high fidelity.

Research scientists and engineers span a myriad of disciplines including computer vision, computer graphics, computational photography, machine learning, interaction technologies and mobile development to unlock the commercial potential of virtual worlds.

[Meteora In Greece, Instagram]

- Computer Vision Technology

For many decades, people dreamed of creating machines with the characteristics of human intelligence, those that can think and act like humans. One of the most fascinating ideas was to give computers the ability to “see” and interpret the world around them. The fiction of yesterday has become the fact of today. 

Thanks to advancements in artificial intelligence (AI) and computational power, computer vision technology has taken a huge leap toward integration in our daily lives.

Computer vision is the field of computer science that focuses on creating digital systems that can process, analyze, and make sense of visual data (images or videos) in the same way that humans do. The concept of computer vision is based on teaching computers to process an image at a pixel level and understand it. Technically, machines attempt to retrieve visual information, handle it, and interpret results through special software algorithms.

- Computer Vision and AI

One of the most powerful and compelling types of artificial intelligence (AI) is computer vision which you’ve almost surely experienced in any number of ways without even knowing. Computer vision is a form of AI where computers can “see” the world, analyze visual data and then make decisions from it or gain understanding about the environment and situation. 

To get the most out of image data, we need computers to “see” an image and understand the content. As a multidisciplinary area of study, it can look messy, with techniques borrowed and reused from a range of disparate engineering and computer science fields.

- Computer Vision in Augmented and Virtual Reality

As technology advances, so does our ability to create immersive digital experiences. The birth of AR and VR technology is one of the most exciting advancements in recent years, with the potential to revolutionize the way we interact with digital content. 

The concept of computer vision is a field of study that, at its core, enables computers to "see" and understand the world around them, which is at the heart of these technologies. Therefore, computer vision in AR and VR is critical to creating engaging and immersive experiences that bridge the physical and digital worlds.

[More to come ...]