Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
IE2022-51
Recognition Based on Imperfect Information Using Deep Learning Model
-- Estimating the Number of Blocks Included in Three-Dimensional Structure --
Takuto Nakazawa, Shigeru Kubota (Yamagata Univ.)
pp. 1 - 5
IE2022-52
Image reconstruction by warping shift-invariant systems in a holographic transparent screen camera
Keiji Takahashi, Saori Takeyama, Masahiro Yamaguchi (Tokyo Tech)
pp. 6 - 10
IE2022-53
A study on complexity reduction of graph signal denoising based on fast graph Fourier transform and its application to image
Takayuki Sasaki, Yukihiro Bandoh, Masaki Kitahara (NTT)
pp. 11 - 16
IE2022-54
[Invited Talk]
A Study on Background Filling for the Inter-patch Area of the Texture Image in V-PCC Encoder
Shohei Adachi (Waseda Univ.), Yoshitaka Kidani, Kei Kawamura (KDDI Research), Hiroshi Watanabe (Waseda Univ.)
pp. 17 - 18
IE2022-55
[Invited Talk]
How Can We Compress Signs of DCT Coefficients in Image Coding?
-- A Method Inspired by Phase Retrieval --
Chihiro Tsutake (Nagoya Univ.)
p. 19
IE2022-56
[Invited Talk]
When Compressive Light Field Acquisition Meets Deep Learning
Keita Takahashi (Nagoya Univ.)
p. 20
IE2022-57
[Invited Talk]
The merits and demerits of the optical shot noise in digital imaging
-- Toward acquisition of true brightness --
Seishi Takamura (Hosei Univ.)
pp. 21 - 24
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.