TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Study on 3 DoF Image and Video Stitching Using Sensed Data |
| 영문제목(English Title) |
Study on 3 DoF Image and Video Stitching Using Sensed Data |
| 저자(Author) |
Minwoo Kim
Jonghoon Chun
Sang-Kyun Kim
|
| 원문수록처(Citation) |
VOL 11 NO. 09 PP. 4527 ~ 4548 (2017. 09) |
한글내용
(Korean Abstract) |
|
영문내용
(English 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.
|
| 키워드(Keyword) |
Image stitching
video stitching
panoramic video
ultra wide viewing video
sensor-based stitching
|
| 파일첨부 |
PDF 다운로드
|
