no code implementations • ECCV 2020 • Yicheng Wu, Vivek Boominathan, Xuan Zhao, Jacob T. Robinson, Hiroshi Kawasaki, Aswin Sankaranarayanan, Ashok Veeraraghavan
The projected pattern can be observed in part or full by any camera, to reconstruct both the 3D map of the scene and the camera pose in the projector coordinates.
1 code implementation • 13 Oct 2023 • Rukun Qiao, Hiroshi Kawasaki, Hongbin Zha
Different from most former disparity estimation methods that operate in a frame-wise manner, our network acquires disparity maps in a temporally incremental way.
no code implementations • 13 Oct 2023 • Rukun Qiao, Hiroshi Kawasaki, Hongbin Zha
In recent years, deep neural networks have shown remarkable progress in dense disparity estimation from dynamic scenes in monocular structured light systems.
no code implementations • 26 Sep 2023 • Hiroto Harada, Michihiro Mikamo, Ryo Furukawa, Ryushuke Sagawa, Hiroshi Kawasaki
To solve the problems, we propose a pixel-wise interpolation technique for one-shot scan, which is applicable to any types of static pattern if the pattern is regular and periodic.
1 code implementation • 7 Sep 2023 • Yi Tang, Takafumi Iwaguchi, Hiroshi Kawasaki
In this paper, we present an approach to image enhancement with diffusion model in underwater scenes.
no code implementations • 5 Oct 2022 • Hanwei Zhang, Hideaki Uchiyama, Shintaro Ono, Hiroshi Kawasaki
In this paper, we present MOTSLAM, a dynamic visual SLAM system with the monocular configuration that tracks both poses and bounding boxes of dynamic objects.
no code implementations • 22 Sep 2021 • Michihiro Mikamo, Ryo Furukawa, Hiroshi Kawasaki
Such a blur is sometimes considered as just a noise, however, it sometimes gives an important effect to add dynamism in the scene for photographs or videos.
no code implementations • 6 Aug 2021 • Kodai Tokieda, Takafumi Iwaguchi, Hiroshi Kawasaki
Importance of structured-light based one-shot scanning technique is increasing because of its simple system configuration and ability of capturing moving objects.
no code implementations • 7 Jul 2021 • Akihiko Sayo, Diego Thomas, Hiroshi Kawasaki, Yuta Nakashima, Katsushi Ikeuchi
We propose a new 2D pose refinement network that learns to predict the human bias in the estimated 2D pose.
Ranked #67 on 3D Human Pose Estimation on Human3.6M
no code implementations • 31 Oct 2020 • Ryusuke Sagawa, Yusuke Higuchi, Hiroshi Kawasaki, Ryo Furukawa, Takahiro Ito
In addition, speckle pattern becomes uncorrelated with large motion.
no code implementations • 9 Sep 2019 • Kazuto Ichimaru, Yuichi Taguchi, Hiroshi Kawasaki
This paper shows that accurate underwater 3D shape reconstruction is possible using a single camera, observing a target through a refractive interface.
no code implementations • 23 May 2019 • Kazuto Ichimaru, Hiroshi Kawasaki
In this paper, we propose a novel technique to efficiently select such rays to synthesize a refraction-free image from an underwater image captured by a light field camera.
no code implementations • 21 Nov 2018 • Kazuto Ichimaru, Ryo Furukawa, Hiroshi Kawasaki
Passive stereo is a simple solution for capturing dynamic scenes at underwater environment, however the shape with textureless surfaces or irregular reflections cannot be recovered.
no code implementations • 25 Aug 2018 • Kazuto Ichimaru, Ryo Furukawa, Hiroshi Kawasaki
Passive stereo is applicable to capture dynamic scenes, however the shape with textureless surfaces or irregular reflections cannot be recovered by the technique.
no code implementations • 7 Jul 2018 • Ryosuke Kimura, Akihiko Sayo, Fabian Lorenzo Dayrit, Yuta Nakashima, Hiroshi Kawasaki, Ambrosio Blanco, Katsushi Ikeuchi
For full-body reconstruction with loose clothes, we propose to use lower dimensional embeddings of texture and deformation referred to as eigen-texturing and eigen-deformation, to reproduce views of even unobserved surfaces.
no code implementations • ICCV 2017 • Yuki Shiba, Satoshi Ono, Ryo Furukawa, Shinsaku Hiura, Hiroshi Kawasaki
With our method, multiple patterns are projected onto the object with higher fps than possible with a camera.
no code implementations • ICCV 2017 • Ryo Furukawa, Ryusuke Sagawa, Hiroshi Kawasaki
Analysis reveals that minimum two light flows, which are retrieved from two projected patterns on the object, are required for depth estimation.
no code implementations • ICCV 2017 • Ryo Furukawa, Ryusuke Sagawa, Hiroshi Kawasaki
Analysis reveals that minimum two light flows, which are retrieved from two projected patterns on the object, are required for depth estimation.
no code implementations • 10 Sep 2016 • Takuto Hirukawa, Marco Visentini-Scarzanella, Hiroshi Kawasaki, Ryo Furukawa, Shinsaku Hiura
The system, despite consisting of conventional passive LCD projectors, is able to project different images and patterns depending on the spatial location of the object.
no code implementations • ICCV 2015 • Hiroshi Kawasaki, Satoshi Ono, Yuki Horita, Yuki Shiba, Ryo Furukawa, Shinsaku Hiura
The central projection model commonly used to model cameras as well as projectors, results in similar advantages and disadvantages in both types of system.