Search Results for author: Yusuke Monno

Found 19 papers, 3 papers with code

Disparity Estimation Using a Quad-Pixel Sensor

1 code implementation1 Sep 2024 Zhuofeng Wu, Doehyung Lee, Zihua Liu, Kazunori Yoshizaki, Yusuke Monno, Masatoshi Okutomi

Similar to a dual-pixel (DP) sensor, the phase shifting can be regarded as stereo disparity and utilized for depth estimation.

Depth Estimation Disparity Estimation +1

Neural Radiance Fields for Novel View Synthesis in Monocular Gastroscopy

no code implementations29 May 2024 Zijie Jiang, Yusuke Monno, Masatoshi Okutomi, Sho Suzuki, Kenji Miki

Enabling the synthesis of arbitrarily novel viewpoint images within a patient's stomach from pre-captured monocular gastroscopic images is a promising topic in stomach diagnosis.

3D Reconstruction Novel View Synthesis +1

Reflection Removal Using Recurrent Polarization-to-Polarization Network

1 code implementation28 Feb 2024 Wenjiao Bian, Yusuke Monno, Masatoshi Okutomi

This paper addresses reflection removal, which is the task of separating reflection components from a captured image and deriving the image with only transmission components.

Reflection Removal

Self-Supervised Spatially Variant PSF Estimation for Aberration-Aware Depth-from-Defocus

no code implementations28 Feb 2024 Zhuofeng Wu, Yusuke Monno, Masatoshi Okutomi

In this paper, we address the task of aberration-aware depth-from-defocus (DfD), which takes account of spatially variant point spread functions (PSFs) of a real camera.

Depth Estimation Self-Supervised Learning

Polarimetric PatchMatch Multi-View Stereo

no code implementations11 Nov 2023 Jinyu Zhao, Jumpei Oishi, Yusuke Monno, Masatoshi Okutomi

PatchMatch Multi-View Stereo (PatchMatch MVS) is one of the popular MVS approaches, owing to its balanced accuracy and efficiency.

Stereo Matching

Polarimetric Multi-View Inverse Rendering

no code implementations24 Dec 2022 Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi

We then refine the initial model by optimizing photometric rendering errors and polarimetric errors using multi-view RGB, AoP, and DoP images, where we propose a novel polarimetric cost function that enables an effective constraint on the estimated surface normal of each vertex, while considering four possible ambiguous azimuth angles revealed from the AoP measurement.

3D Reconstruction Inverse Rendering

Dual-Pixel Raindrop Removal

no code implementations24 Oct 2022 Yizhou Li, Yusuke Monno, Masatoshi Okutomi

In this paper, we propose the first method using a Dual-Pixel (DP) sensor to better address the raindrop removal.

Raindrop Removal Rain Removal

Two-Step Color-Polarization Demosaicking Network

no code implementations13 Sep 2022 Vy Nguyen, Masayuki Tanaka, Yusuke Monno, Masatoshi Okutomi

Polarization information of light in a scene is valuable for various image processing and computer vision tasks.

Demosaicking Vocal Bursts Valence Prediction

Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection

no code implementations CVPR 2022 Chunyu Li, Yusuke Monno, Masatoshi Okutomi

To jointly reconstruct the depth and the hyperspectral reflectance from a single color-dot image, we propose a novel end-to-end network architecture that effectively incorporates a geometric color-dot pattern loss and a photometric hyperspectral reflectance loss.

Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM

1 code implementation5 Nov 2021 Yizhou Li, Yusuke Monno, Masatoshi Okutomi

For this purpose, an encoder-decoder network draws wide attention, where the encoder is required to encode a high-quality rain embedding which determines the performance of the subsequent decoding stage to reconstruct the rain layer.

Decoder Single Image Deraining

Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization

no code implementations28 Jul 2021 Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi, Sho Suzuki, Takuji Gotoda, Kenji Miki

In addition, we propose a novel generalized photometric loss function to avoid the complicated process of finding proper weights for balancing the depth and the pose loss terms, which is required for existing direct depth and pose supervision approaches.

3D Reconstruction Pose Estimation

Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectance

no code implementations15 Apr 2021 Chunyu Li, Yusuke Monno, Masatoshi Okutomi

Reconstructing an object's high-quality 3D shape with inherent spectral reflectance property, beyond typical device-dependent RGB albedos, opens the door to applications requiring a high-fidelity 3D model in terms of both geometry and photometry.

Inverse Rendering

Spectral Reflectance Estimation Using Projector with Unknown Spectral Power Distribution

no code implementations18 Dec 2020 Hironori Hidaka, Yusuke Monno, Masatoshi Okutomi

A lighting-based multispectral imaging system using an RGB camera and a projector is one of the most practical and low-cost systems to acquire multispectral observations for estimating the scene's spectral reflectance information.

Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array

no code implementations20 Nov 2020 Takeru Suda, Masayuki Tanaka, Yusuke Monno, Masatoshi Okutomi

In this paper, we propose a deep snapshot high dynamic range (HDR) imaging framework that can effectively reconstruct an HDR image from the RAW data captured using a multi-exposure color filter array (ME-CFA), which consists of a mosaic pattern of RGB filters with different exposure levels.

Image Reconstruction

Monochrome and Color Polarization Demosaicking Using Edge-Aware Residual Interpolation

no code implementations28 Jul 2020 Miki Morimatsu, Yusuke Monno, Masayuki Tanaka, Masatoshi Okutomi

Since the polarimeter consists of an image sensor equipped with a monochrome or color polarization filter array (MPFA or CPFA), the demosaicking process to interpolate missing pixel values plays a crucial role in obtaining high-quality polarization images.

Demosaicking

Polarimetric Multi-View Inverse Rendering

no code implementations ECCV 2020 Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi

A polarization camera has great potential for 3D reconstruction since the angle of polarization (AoP) of reflected light is related to an object's surface normal.

3D Reconstruction Inverse Rendering

Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image Generation

no code implementations26 Apr 2020 Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi, Sho Suzuki, Takuji Gotoda, Kenji Miki

Gastric endoscopy is a standard clinical process that enables medical practitioners to diagnose various lesions inside a patient's stomach.

3D Reconstruction Image Generation +1

Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance from Motion

no code implementations ICCV 2019 Chunyu Li, Yusuke Monno, Hironori Hidaka, Masatoshi Okutomi

In this paper, we propose a novel projector-camera system for practical and low-cost acquisition of a dense object 3D model with the spectral reflectance property.

3D Reconstruction

3D Reconstruction of Whole Stomach from Endoscope Video Using Structure-from-Motion

no code implementations30 May 2019 Aji Resindra Widya, Yusuke Monno, Kosuke Imahori, Masatoshi Okutomi, Sho Suzuki, Takuji Gotoda, Kenji Miki

In this work, we investigated how to enable structure-from-motion (SfM) to reconstruct the whole shape of a stomach from a standard endoscope video.

3D Reconstruction

Cannot find the paper you are looking for? You can Submit a new open access paper.