Image matching principles in photometrical transformations

In this article interactive visualization techniques for creating virtual objects are considered. We describe the most common methods of photometric transformations between images and a variety of geometric objects contextualized against the backdrop of increased adoption of 360 videos and virtual reality systems. Two techniques, the Harris-Laplacian and the Scale Invariant Feature Transform (SIFT) have been described. The algorithm estimation of virtual objects interactive visualization is given. The image-matching algorithm using key points is described.