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The SIFT feature descriptors of the images are then matched together and blended to form a single panoramic view.\n\nUploaded files Description:\n\nmain.py: Python code implementing Perspective and Cylindrical warping to create a smooth panorama.\n\ninput1.png: Input image 1 for creation of panorama.\n\ninput2.png: Input image 2 for creation of panorama.\n\ninput3.png: Input image 3 for creation of panorama.\n\noutput-cylindrical.png: Result of perspective warping (Homographic Transormation)\n\noutput-cylindrical-lpg.png: Result of perspective warping (Homographic Transormation) with Laplacian Blending\n\noutput-homography.png: Result of Cylindrical warping (Affine Transformation)\n\noutput-homography-lpb.png: Result of Cylindrical warping (Affine Transformation) with Laplacian Blending.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FTejasNaikk%2FImage-Alignment-and-Panoramas","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FTejasNaikk%2FImage-Alignment-and-Panoramas","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FTejasNaikk%2FImage-Alignment-and-Panoramas/lists"}