Understanding The Technology Behind Vr Headsets – In the context of AR and VR systems, predictive tracking refers to the process of predicting the future orientation and/or position of an object or body part. For example, one might want to predict the orientation of the head or the position of the hand.
Guest article by Yuval Boger Yuval is CEO of Sensics and co-founder of OSVR. Yuval and his team designed the OSVR software platform and built key parts of the OSVR offering. He often shares his views and knowledge on his blog. Why predictive tracking is useful
Understanding The Technology Behind Vr Headsets
One common use of predictive tracking is to reduce apparent ‘motion-to-photon’ latency, meaning the time between movement and when that movement is reflected on the screen. Since there is some delay between the movement itself and when the information about that movement ends up on the screen (more on the sources of that delay below), using the estimated future orientation and position as data used in the display update could shorten the perceived latency.
Advantages And Disadvantages Of Virtual Reality
Although much attention has been focused on predictive tracking in virtual reality applications, it is also very important in augmented reality, especially since the viewer has instantaneous real-world motion to compare with the augmented reality layer. For example, if you’re rendering a graphics layer that appears on top of a physical object that you see using an augmented reality headset, it’s important that the layer stays ‘locked’ to the object even when you turn your head so that it appears to be part of the real world. The object can be recognized by the camera, but it takes time for the camera to capture the frame, for the processor to determine where the object is in the frame, and for the graphics chip to display the new overlay location. By using predictive tracking you can potentially reduce layer movement compared to the real world.
If you saw a car traveling at a constant speed and wanted to predict where that car would be one second into the future, you could probably make a fairly accurate prediction. You know the current position of the car, you may know (or can estimate) the current speed and therefore can extrapolate the position in the near future.
Of course, if you compare your prediction to where the car actually is in one second, your prediction probably won’t be 100% accurate every time: the car could change direction or accelerate during that time. The further you try to predict, the less accurate your prediction will be: predicting where the car will be in one second is probably much more accurate than predicting where it will be in one minute.
The more you know about the car and its behavior, the better your chances of an accurate forecast. For example, if you were able to measure not only velocity but also acceleration, you could make a more accurate prediction.
Augmented Reality Vs. Virtual Reality: Unveiling The Differences
Having additional information about the behavior of the tracked body can also improve the accuracy of the prediction. For example, when doing head tracking, understanding how fast a human head can rotate and what the usual rotation speeds are can improve the tracking model. Similarly, if you are doing eye tracking, you can use the eye tracking information to predict the head (discussed later in this post).
The desire to perform predictive tracking arises from a certain delay between the actual movement and the time until an image reflecting that movement can be displayed on the screen. Latency can come from a number of sources, such as:
Some of these delays are very small, but unfortunately they all add up; predictive tracking, along with other techniques such as time warping, help reduce apparent latency.
In two words: it depends. You’ll want to estimate the ultimate latency of your system as a starting point and then optimize the timing to your liking.
Ready Player One?. The State Of Vr & Ar
You may need to predict several points in time in the future at any given time. Here are some examples of why this might be necessary:
Predictive tracking is a useful and frequently used technique to reduce apparent latency. Offering simple or sophisticated implementations, it requires little thought and analysis, but is critical to achieving low tracking latency in today’s VR and AR systems. This article examines VR technology, market trends, and the most popular use cases. Key project roles are described along with some of the most important challenges project managers may face when managing a VR project.
The authors are proven experts in their fields and write about topics in which they have demonstrated experience. All our content is reviewed and verified by experts in the same field.
Audrius is an experienced product and project manager who has worked with: Uber, Deloitte, Rolls-Royce, Deutsche Bank, Warner Bros.
Waiting For The Future Of Virtual Reality
By 2019, most people have probably seen or tried virtual reality experiences, otherwise known as VR. You may have tried a very basic version of VR with Google Cardboard where you could look around and see a 360 degree image around you. Or maybe you even tried full VR with HTC Vive or Oculus Rift where you could not only look around, but also move and explore a new and unknown space.
Some people think VR is just a passing fad, while others are hailing it as the next big thing in computing. Despite all this, VR is a new type of media for interacting with computers, which has been steadily making its way into the consumer and business markets for the past 8 years. For example, Ford used VR to help them design their GT supercar, while Boston Children’s Hospital and numerous other hospitals around the world used VR as an effective replacement for pain medication.
This article will try to help project managers better understand the technology itself (similar to our recent article on artificial intelligence), help them manage VR-based projects, and prepare for any challenges they might face when managing a VR project .
To understand what virtual reality is, we need to look at the history of 3D technologies and see where VR came from. Over the years there have been multiple attempts to take us from the realm of 2D content to the realm of 3D content. It all started with “3D” pictures in the late 19th century and moved to 3D cinema in the mid-20th century. However, VR should not be confused with more typical 3D content. It is much more than that.
What’s The Difference Between Spatial Computing And Virtual Reality (vr)?
The key factor that differentiates 3D cinema and VR is what engineers in the VR space call “presence.” Immersion is a technical term used to describe the feeling of complete immersion and existence in another space that a VR headset provides to the user. This sense of “presence” requires the device to fool many different aspects of the human perceptual system.
The best test designed to verify the existence of “presence” is to tell a person to try walking onto a virtual ledge of a 100-story building and attempt to jump off it. In a 3D cinema this might look scary, but most people wouldn’t have a problem with it.
However, in virtual reality, the field of view, refresh rate, resolution and other aspects of the headset are designed in such a way as to trick the human perceptual system into believing that you are really somewhere else. This makes jumping off the edge of a building an almost impossible task for most, while others scream and shout as they perform this simple and harmless exercise.
Those who have the courage to step off the edge and start literally falling off the building report a sinking feeling in their stomach that mimics the real fall reflex. This is the case because of how well we are tricked into believing that virtual reality is real. This sense of “presence” is the key difference between other 3D experiences and true virtual reality.
Augmented Reality Vs Virtual Reality: Unveiling The Future Of Immersive Technologies
The history of VR begins with the first demonstrations of the sword of Damocles in the MIT laboratory in 1968. Back then, VR was mainly a test for military flight simulators and display technologies. There were many failed attempts to make VR a reality in the mid-20th century, but most of them resembled very basic demos that would take up too much space and could only be afforded by the largest R&D labs.
The first real wave of VR hype came and went in the early 90s. There were companies that produced very expensive and bulky VR headsets, such as the Virtuality 1000CS. There was even a TV show called VR Rangers that showed kids the wonderful journeys of VR warriors suspiciously similar to Power Rangers.
However, the technological capabilities in the graphics space of the early 90s did not match the requirements of VR systems. Most people have reported side effects from using VR screens at that time. Almost all experiences were accompanied by nausea and seasickness. Most games couldn’t produce much more than a few simple shapes and VR
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