Journal
PROCEEDINGS 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW)
Volume -, Issue -, Pages 1042-1051Publisher
IEEE
DOI: 10.1109/CVPRW.2018.00138
Keywords
-
Categories
Funding
- Alibaba Group
- NVIDIA Corp.
- SenseTime Group Ltd.
- Huawei Technologies Co. Ltd.
- Code Ocean
- Google Inc.
- Disney Research
- Amazon.com, Inc.
- ETH Zurich
Ask authors/readers for more resources
This paper reviews the first challenge on spectral image reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3channel RGB image. The challenge was divided into 2 tracks: the Clean track sought HS recovery from noiseless RGB images obtained from a known response function (representing spectrally-calibrated camera) while the Real World track challenged participants to recover HS cubes from JPEG-compressed RGB images generated by an unknown response function. To facilitate the challenge, the BGU Hyperspectral Image Database [4] was extended to provide participants with 256 natural HS training images, and 5+ 10 additional images for validation and testing, respectively. The Clean and Real World tracks had 73 and 63 registered participants respectively, with 12 teams competing in the final testing phase. Proposed methods and their corresponding results are reported in this review.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available