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> 연구성과 > 국외저널
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논문명
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SCI
SCOPUS
LNCS / LNAI / LNEE
기타저널
제1저자
교신저자
공동저자
Impact Factor
개제학술지명
Keyword
게재일
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비밀번호
내용
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.