Reconstructing, Augmenting and Manipulating 3D Scene from Sequence of Images

Provided by: Journal of Theoretical and Applied Information Technology
Topic: Enterprise Software
Format: PDF
The detection of third dimension by using multiple images follows naturally from the physical behavior of human eyes in the vision of 3D objects. In this paper, the scene parameters are setup for scene reconstruction; camera position and orientation are considered. Consecutive images are used to create the depth map of the scene. After reconstructing the scene, the authors apply a new methodology to augment the scene by using LAB color space and k-means clustering. A general scheme for scene manipulation is also introduced. The new methodology has shown high accuracy in scene reconstruction and augmentation.

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