5 citations · 6 across the 5 of their papers we have counts for
5 papers
NLOS-NeuS: Non-line-of-sight Neural Implicit Surface
Yuki Fujimura, Takahiro Kushida, Takuya Funatomi +1
Non-line-of-sight (NLOS) imaging is conducted to infer invisible scenes from indirect light on visible objects. The neural transient field (NeTF) was proposed for representing scen…
Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance
Yuki Fujimura, Masaaki Iiyama, Takuya Funatomi +1
We propose a learning-based depth from focus/defocus (DFF), which takes a focal stack as input for estimating scene depth. Defocus blur is a useful cue for depth estimation. Howeve…
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient Estimation
Yuki Fujimura, Motoharu Sonogashira, Masaaki Iiyama
We propose a learning-based multi-view stereo (MVS) method in scattering media, such as fog or smoke, with a novel cost volume, called the dehazing cost volume. Images captured in…
Defogging Kinect: Simultaneous Estimation of Object Region and Depth in Foggy Scenes
Yuki Fujimura, Motoharu Sonogashira, Masaaki Iiyama
Three-dimensional (3D) reconstruction and scene depth estimation from 2-dimensional (2D) images are major tasks in computer vision. However, using conventional 3D reconstruction te…
Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter
Yuki Fujimura, Masaaki Iiyama, Atsushi Hashimoto +1
Images captured in participating media such as murky water, fog, or smoke are degraded by scattered light. Thus, the use of traditional three-dimensional (3D) reconstruction techni…