SCENE IMAGE CONSTRUCTION BY WAY OF SEQUENCED IMAGES SUPERPOSITION
- Authors: Damov M.V.1, Zotin A.G.1
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Affiliations:
- Siberian State Aerospace University named after academician M. F. Reshetnev
- Issue: Vol 11, No 7 (2010)
- Pages: 24-28
- Section: Articles
- URL: https://journals.eco-vector.com/2712-8970/article/view/505631
- ID: 505631
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Abstract
A concept of scene image construction by way of video sequence frames or photo shot series superposition is presented in the paper. Scene construction is performed on the basis of displacement map which reflects vectors of blocks shifts.
Full Text
The level of development of modern computing technologies allows to solve problems of great computational complexity including processing of video sequences. Construction of an image of a video sequence scene is a problem necessary to be solved in reconstruction of video sequence. Reconstruction of video sequences is an important area of work in connection with increasing requirements of potential customers such as experts working with video archives, experts in the field of production and restoration of films, TV broadcast experts as well as experts in the analysis of visual data received by various methods namely: air photography, satellite photography, laser location and other systems of sensors. But generally a video sequence scene is understood as a part of a film or a sequence of images shot from one foreshortening for some period of time. In paper [1] one of algorithms of video sequence division into scenes is presented. A displacement map is a two-dimensional data array whose elements are two-dimensional vectors. Each vector sets a shift from a point on the first image to a corresponding point on the second image. This information is used for construction of a scene image on the basis of several neighboring frames. Thus, the algorithm of construction belongs to a spatial-temporal type. There are three basic approaches to the definition of parameters of global movement: the approach with the use of the instrument of feature points; the approach with the use of vectors of blocks movement; global search.×
About the authors
M. V. Damov
Siberian State Aerospace University named after academician M. F. ReshetnevRussia, Krasnoyarsk
A. G. Zotin
Siberian State Aerospace University named after academician M. F. ReshetnevRussia, Krasnoyarsk
References
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