Single Viewpoint Panorama Construction with Wide Baseline Images using Sift and Surf Features

Author(s):

Kripa S , Marian Engineering College, Trivandrum, India; Monisha Menon, Marian Engineering College, Trivandrum, India

Keywords:

homogarphy, image acquisition, image conversion, RANSAC, SIFT, SURF, single view-point panorama

Abstract:

This paper presents an image stitching approach, which can produce visually plausible wide baseline panoramic images with input taken from different viewpoints. Unlike previous methods, this approach uses Harris corner detector for the detection of corner point and the image stitching based on common stitching algorithms such as scale invariant feature transform (SIFT) combined with speeded up robust features (SURF) feature detection and random sample consensus (RANSAC) parameter estimation also uses homography similarity to identify if input images have enough correlation. This paper improves the composition and achieves good performance on misaligned areas.

Other Details:

Manuscript Id	:	IJSTEV3I8031
Published in	:	Volume : 3, Issue : 8
Publication Date	:	01/03/2017
Page(s)	:	76-83

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