• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Study on 3 DoF Image and Video Stitching Using Sensed Data

Vol. 11, No.9, September 30, 2017
10.3837/tiis.2017.09.019, Download Paper (Free):

Abstract

This paper proposes a method to generate panoramic images by combining conventional feature extraction algorithms (e.g., SIFT, SURF, MPEG-7 CDVS) with sensed data from inertia sensors to enhance the stitching results. The challenge of image stitching increases when the images are taken from two different mobile phones with no posture calibration. Using inertia sensor data obtained by the mobile phone, images with different yaw, pitch, and roll angles are preprocessed and adjusted before performing stitching process. Performance of stitching (e.g., feature extraction time, inlier point numbers, stitching accuracy) between conventional feature extraction algorithms is reported along with the stitching performance with/without using the inertia sensor data. In addition, the stitching accuracy of video data was improved using the same sensed data, with discrete calculation of homograph matrix. The experimental results for stitching accuracies and speed using sensed data are presented in this paper.


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Cite this article

[IEEE Style]
Minwoo Kim, Jonghoon Chun and Sang-Kyun Kim, "Study on 3 DoF Image and Video Stitching Using Sensed Data," KSII Transactions on Internet and Information Systems, vol. 11, no. 9, pp. 4527-4548, 2017. DOI: 10.3837/tiis.2017.09.019

[ACM Style]
Kim, M., Chun, J., and Kim, S. 2017. Study on 3 DoF Image and Video Stitching Using Sensed Data. KSII Transactions on Internet and Information Systems, 11, 9, (2017), 4527-4548. DOI: 10.3837/tiis.2017.09.019