Image Matching Principles in Photometrical Transformations

Suprun, Diana and Cunningham, Stuart (2017) Image Matching Principles in Photometrical Transformations. In: 7th IEEE Int. Conference on Internet Technologies and Applications ITA-17, Wrexham, UK, 12-15 September 2017, Wrexham, UK.

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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.

Item Type: Conference or Workshop Item (Paper)
Divisions: Applied Science, Computing and Engineering
Depositing User: Hayley Dennis
Date Deposited: 21 Nov 2018 14:51
Last Modified: 21 Nov 2018 14:51

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