How 3d object recognition works?

How 3d object recognition works ? Recognizing objects is a difficult task, but very important. For example, it is needed to analyze and track people entering the field of view of video cameras designed to monitor the safety of the institution, activities, etc. Based on this problem, we will consider 3D-recognition of objects in this article.

Systems that perform this task usually analyze a two-dimensional picture. Of course, a technology that can recognize objects on a three-dimensional model is more promising, but it is at times more difficult to develop.

Advantages and disadvantages of 3d-systems

2D-recognition with time will disappear into oblivion completely, because with the development of a more efficient technology there will simply be no need to use the outdated, and much worse functioning. The shortcomings of a system recognizing two-dimensional images can be attributed to its serious sensitivity to illumination, the differences in which can lead to the impossibility of recognizing the face.

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If we talk about 3D-recognition, then changes in the angle of incidence of light and its intensity, of course, will affect the texture of the object. However its reconstructed surface is likely to be exactly the same as in good light.

Another drawback of 2D-recognition is the maximum permissible deviation of the face from the frontal position within 15 degrees. Otherwise, the system will simply be ineffective, because the technology operates on the basis of anthropometric points, leading the picture to the canonical position with their help. If the deviation is greater, it will not work.

But recognizing three-dimensional models the system will be able to cope with the task, even if the head is rejected by 30, 40, and even 45 degrees. The model can be rotated by the software, if the picture from the database has a different perspective.

Even anthropocentric points will have no longer 2, but 3 coordinates, which means they will carry more information. By the way, you can also rotate the object to the view of the faces to use a system that effectively recognizes two-dimensional models.

Also, the serious advantage of 3D recognition is the fact that it uses even low contrast areas. 2D systems do not do this, focusing on the eyes, mouth, nose and other more contrasting objects, and less contrasting cheeks and chins even though they use it, but they do it badly and ineffectively.

Let’s sum up

Of course, there are also drawbacks in recognizing three-dimensional models of the system, even the most ideal and effective ones. For example, during the first stage (recognition), poor or uneven lighting will not be a problem. However, during the reconstruction, it can have a negative impact on this process.

Summarizing, it can be noted that 3D-systems were not implemented before, due to the lack of video sensors on the market that can collect information in sufficient resolution. However, the price of such equipment is reduced; due to which 3D-recognition becomes more and more urgent and necessary, which of course will stimulate its development.

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