46 citations · 149 across the 35 of their papers we have counts for
10 papers · 1 filter
Spectral Reflectance Estimation Using Projector with Unknown Spectral Power Distribution
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 estima…
Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array
Takeru Suda, Masayuki Tanaka, Yusuke Monno +1
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…
Adaptive Future Frame Prediction with Ensemble Network
Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi +1
Future frame prediction in videos is a challenging problem because videos include complicated movements and large appearance changes. Learning-based future frame prediction approac…
Human Segmentation with Dynamic LiDAR Data
Tao Zhong, Wonjik Kim, Masayuki Tanaka +1
Consecutive LiDAR scans compose dynamic 3D sequences, which contain more abundant information than a single frame. Similar to the development history of image and video perception,…
Monochrome and Color Polarization Demosaicking Using Edge-Aware Residual Interpolation
Miki Morimatsu, Yusuke Monno, Masayuki Tanaka +1
A division-of-focal-plane or microgrid image polarimeter enables us to acquire a set of polarization images in one shot. Since the polarimeter consists of an image sensor equipped…
Polarimetric Multi-View Inverse Rendering
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. In this paper, we…
3D Pipe Network Reconstruction Based on Structure from Motion with Incremental Conic Shape Detection and Cylindrical Constraint
Sho kagami, Hajime Taira, Naoyuki Miyashita +2
Pipe inspection is a critical task for many industries and infrastructure of a city. The 3D information of a pipe can be used for revealing the deformation of the pipe surface and…
Classifying degraded images over various levels of degradation
Kazuki Endo, Masayuki Tanaka, Masatoshi Okutomi
Classification for degraded images having various levels of degradation is very important in practical applications. This paper proposes a convolutional neural network to classify…
Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image Generation
Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi +3
Gastric endoscopy is a standard clinical process that enables medical practitioners to diagnose various lesions inside a patient's stomach. If any lesion is found, it is very impor…
Learning-Based Human Segmentation and Velocity Estimation Using Automatic Labeled LiDAR Sequence for Training
Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi +1
In this paper, we propose an automatic labeled sequential data generation pipeline for human segmentation and velocity estimation with point clouds. Considering the impact of deep…