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A Method for Generation of Panoramic View based on Images Acquired by a Moving Camera

Artificial Intelligence Techniques - Novel Approaches & Practical Applications
© 2011 by IJCA Journal
Number 3 - Article 2
Year of Publication: 2011
Prajkta Sangle
Krishnan Kutty
Anita Patil

Prajkta Sangle, Krishnan Kutty and Anita Patil. A Method for Generation of Panoramic View based on Images Acquired by a Moving Camera. IJCA Special Issue on Artificial Intelligence Techniques - Novel Approaches & Practical Applications (3):24–27, 2011. Full text available. BibTeX

	author = {Prajkta Sangle and Krishnan Kutty and Anita Patil},
	title = {A Method for Generation of Panoramic View based on Images Acquired by a Moving Camera},
	journal = {IJCA Special Issue on Artificial Intelligence Techniques - Novel Approaches & Practical Applications},
	year = {2011},
	number = {3},
	pages = {24--27},
	note = {Full text available}


Panoramic photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a panorama. The process to generate a panoramic view can be divided into three main components - image acquisition, image registration, and blending. In this paper, a robust algorithm called Scale Invariant Feature Transform (SIFT) used to extract the features from the images and matching them which is a part of image registration. SIFT features are invariant to rotation, translation, image scaling and partially invariant to 3D viewpoint, illumination changes and image noise. Image transformation is estimated using homography. Image blending technique is used to blend the images together to get a panoramic view. Main applications of panoramic view include creating virtual environment for virtual reality, modeling the 3D environment using images acquired from the real world.


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