The underlying theory
What methods are used to convert 2-D images to 3-D? Despite all of the available technologies, 2D technology is still dominating 3-D in terms of its usage and implementation. There is, however, an increasing need to find efficient ways to convert 2-D technology into 3-D. Various tools are already in place which is able to produce 3-D images and there are both automatic methods and also semiautomatic methods which are today used in the industry. These terms are self-explanatory and it simply means that the automatic method does not require any human intervention while the semiautomatic method will still require a certain amount of human intervention. There are obvious benefits to making use of 3-D images and one of these is the depth which is available in 3-D images. This requires a method which is able to calculate the depth in order to ensure that an accurate 3-D image is acquired. There are ongoing research projects which are looking at different ways in which to accomplish the best way in order to produce 3-D images which will be accurate and satisfactory to anyone who is reviewing them. Some research projects are looking at monocular depth cues. This is simply a process where depth is studied from existing examples. This will hopefully provide a more accurate overview and will provide researchers with more accurate conversion algorithms.
Images throughout the ages
Images have been used from the start to convey important information. There are images available which have been produced thousands of years ago. Images were often used in order to communicate important information. It would be accurate to say that every picture contains a substantial amount of visual information. Every person with basic education is aware of the fact that 2-D images are dealing with two dimensions which are known as the width and height. When it comes to 3D images an additional dimension is added which is known as depth. A quick comparison will quickly reveal that a 3D image provides substantially more information and is able to more accurately convey details than will be possible with a 2-D image. We are now living in a time where every day there are new emerging technologies. There is a lot of interest in 3-D consumer electronics and the demand for advanced 3-D technologies is increasing. Although 3-D technology is now well advanced, it is still very far behind its 2-D counterpart. To change the situation, it is necessary to acquire more accurate 2D to 3D image conversion methods. We have already mentioned semiautomatic and automatic models. When using the semiautomatic model, a well-trained operator will assign depth to certain parts of a video or image. This will not be necessary in automatic mode because in this case, a pre-programmed computer algorithm will automatically assign the depth parameter for every single image. When these automatic models are used the program will estimate shape from the available structure or shading available in an image.
Dealing with realities
The currently used automatic models are not yet sufficiently advanced. This is because they rely on assumptions which are frequently violated in real life. It has been discovered during research that those methods which still require human intervention has produced better results but unfortunately they also take longer and are therefore very expensive. As most people already know, the primary value of 3D images is the presence of depth and this is why it is so important to accurately calculate the depth of the images’ orders to ensure successful conversion from 2D to 3D. The important factors are the depth estimation for a particular 2-D image and also the depth-based rendering of any successive image in order to ensure a satisfactory end product. At this point in time, the need for accurate rendering is well understood by everyone. There are also very accurate algorithms that are able to ensure high-quality images. The only obstacle is the accurate estimation of depth present in a single image. Lately, several methods have been developed to deal with these very important issues. One way in which this is accomplished is by calculating the depth using monocular depth cues. Technicians then proceed to learn depth via a simplified algorithm which is able to calculate the scene depth from a very large database in which there are many depths and image pairs. To understand the difference between these two methods it is necessary to use a depth map. This is simply a 2-D function which provides the depth of a particular object point as a function of the image coordinates. Image processing techniques are also extensively studied and used in.