Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/2609
Title: | Panorama Generation using Feature based Mosaicing and Modified Graph-cut Blending |
Authors: | Pandey, Achala Pati, Umesh C |
Keywords: | Panoramic mosaicing Alignment SIFT Geometric transformations RANSAC Seam Seamless blending |
Issue Date: | Dec-2016 |
Citation: | International Conference on Soft Computing: Theories and Applications(SoCTA 2016), Amity University Rajasthan, Jaipur, India, 28-30 December 2016 |
Abstract: | Panoramic mosaicing has several important area of applications including computer vision/graphics, virtual reality, and surveillance. Different factors like sensor noise, camera motion, and illumination difference affect the quality of the mosaic due to creation of artificial edges (artifacts) between the images in the resulting panorama. This work presents a technique to overcome such problems for the generation of seamless panoramic images. The proposed technique uses Scale Invariant Feature Transform (SIFT) features for image alignment and modified graph-cut (MGC) for blending the seam in the overlapping region between images. The proposed method is tested on various sets of images to show its effectiveness. Comparison with different mosaicing as well as blending techniques show that the proposed method achieves improved results for panorama creation. |
Description: | Copyright belongs to the proceeding publisher |
URI: | http://hdl.handle.net/2080/2609 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2016_SoCTA_APandey_Panorama.pdf | 501.35 kB | Adobe PDF | View/Open |
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