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사용후기
책임교수 |
원치선 |
논문명 |
Rotated top-bottom dual-kinect for improved field of view |
논문종류 |
SCI |
제1저자 |
Wanbin Song |
교신저자 |
Chee sun Won |
공동저자 |
Seokmin Yun, Seung-Won Jung |
Impact Factor |
1.346 |
개제학술지명 |
Multimedia Tools and Applications |
Keyword |
Kinect sensor – FOV (Field Of View) – RGB-D – Depth image panorama |
게재일 |
2015 년 07 월 |
Existing commodity depth sensors have limited the field of view (FOV) of depth scanning. Our solution for extending the FOV is to use multiple depth sensors and stitch the captured depth images to a depth panorama. In our case study, we use two Kinects to address the following two questions: what is the best layout of the two Kinects to maximize the FOV and, second, how to combine the depth images together to form the depth panorama. We answer these questions by proposing a rotated top-bottom (RTB) arrangement of the two Kinects to maximize the FOV. Since the two Kinects capture the depth images from their own views, the depth values are not necessarily identical for the same object. To solve this problem, the depth adjustments are made for a frontal reference coordinate. Moreover, the perspective distortions of the two Kinects with respect to the frontal reference coordinate are corrected by perspective transformations. Experimental results show that our RTB sensor can generate panorama depth images with an almost doubled FOV.
*ITRC 기여율=0.5