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Content Provider | IEEE Xplore Digital Library |
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Author | Jaesik Park Hyeongwoo Kim Yu-Wing Tai Brown, M.S. Inso Kweon |
Copyright Year | 2011 |
Description | Author affiliation: Korea Advanced Institute of Science and Technology (KAIST), Korea (Jaesik Park; Hyeongwoo Kim; Yu-Wing Tai; Inso Kweon) || National University of Singapore (NUS), Singapore (Brown, M.S.) |
Abstract | This paper describes an application framework to perform high quality upsampling on depth maps captured from a low-resolution and noisy 3D time-of-flight (3D-ToF) camera that has been coupled with a high-resolution RGB camera. Our framework is inspired by recent work that uses nonlocal means filtering to regularize depth maps in order to maintain fine detail and structure. Our framework extends this regularization with an additional edge weighting scheme based on several image features based on the additional high-resolution RGB input. Quantitative and qualitative results show that our method outperforms existing approaches for 3D-ToF upsampling. We describe the complete process for this system, including device calibration, scene warping for input alignment, and even how the results can be further processed using simple user markup. |
Starting Page | 1623 |
Ending Page | 1630 |
File Size | 2506669 |
Page Count | 8 |
File Format | |
ISBN | 9781457711015 |
ISSN | 15505499 |
e-ISBN | 9781457711022 |
DOI | 10.1109/ICCV.2011.6126423 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-11-06 |
Publisher Place | Spain |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Cameras Image color analysis Image edge detection Image resolution Three dimensional displays Image segmentation Joints |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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