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Chapter and Conference Paper
Monocular Absolute 3D Human Pose Estimation with an Uncalibrated Fixed Camera
In this paper, we propose a method for absolute 3D human pose estimation (HPE) with an uncalibrated monocular camera. In the case of analyzing workers’ movement with an existing uncalibrated camera, the previo...
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Article
Open AccessReal-world outcomes of patients with renal cell carcinoma, surgically treated at regional hospitals, based on a prospective long-term survey of the pre-robotic era
Renal cancer surgery is frequently performed in small regional hospitals in Japan. This study evaluated the outcomes of renal cancer surgery, comparing results from the pre-robotic surgery era with those obtai...
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Chapter and Conference Paper
High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights
Occlusion-free video generation is challenging due to surgeons’ obstructions in the camera field of view. Prior work has addressed this issue by installing multiple cameras on a surgical light, ho** some cam...
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Article
Open AccessCorrection to: Semi-automation of gesture annotation by machine learning and human collaboration
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Article
Open AccessSemi-automation of gesture annotation by machine learning and human collaboration
Gesture and multimodal communication researchers typically annotate video data manually, even though this can be a very time-consuming task. In the present work, a method to detect gestures is proposed as a fu...
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Article
Special issue on “drones as enablers of novel services: operational and technology challenges”
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Chapter and Conference Paper
Difference-in-level Detection from RGB-D Images
Most robots implicitly assume that the road surface on which they move is flat, without differences in level. Detecting differences in level on roads contributes to robots moving safely without stacking and fa...
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Chapter and Conference Paper
Transformer Networks for Future Person Localization in First-Person Videos
Reliably and accurately forecasting future trajectories of pedestrians is necessary for systems like autonomous vehicles or visual assistive devices to function correctly. While previous state-of-the-art metho...
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Chapter and Conference Paper
Novel View Synthesis for Surgical Recording
Recording surgery in operating rooms is one of the essential tasks for education and evaluation of medical treatment. However, recording the fields which depict the surgery is difficult because the targets are...
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Chapter and Conference Paper
Video-Based Hand Tracking for Screening Cervical Myelopathy
Cervical myelopathy (CM) is a pathology of the spinal cord that causes upper limb disorders. CM is often screened by conducting the 10-s grip and release (G&R) test, which mainly focuses on hand dysfunction ca...
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Chapter and Conference Paper
Audio-Visual Hybrid Approach for Filling Mass Estimation
Object handover is a fundamental and essential capability for robots interacting with humans in many applications such as household chores. In this challenge, we estimate the physical properties of a variety o...
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Chapter and Conference Paper
RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach
Diminished reality is a technology that aims to remove objects from video images and fills in the missing region with plausible pixels. Most conventional methods utilize the different cameras that capture the ...
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Chapter and Conference Paper
In-Plane Rotation-Aware Monocular Depth Estimation Using SLAM
Estimating accurate depth from an RGB image in any environment is challenging task in computer vision. Recent learning based method using deep Convolutional Neural Networks (CNNs) have driven plausible appeara...
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Chapter and Conference Paper
Global-Map-Registered Local Visual Odometry Using On-the-Fly Pose Graph Updates
Real-time camera pose estimation is one of the indispensable technologies for Augmented Reality (AR). While a large body of work in Visual Odometry (VO) has been proposed for AR, practical challenges such as s...
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Chapter and Conference Paper
Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings
Recording surgery in operating rooms is an essential task for education and evaluation of medical treatment. However, recording the desired targets, such as the surgery field, surgical tools, or doctor’s hands...
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Chapter and Conference Paper
Unsupervised Anomaly Detection of the First Person in Gait from an Egocentric Camera
Assistive technology is increasingly important as the senior population grows. The purpose of this study is to develop a means of preventing fatal injury by monitoring the movements of the elderly and sounding...
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Article
Open AccessReal-time scene reconstruction and triangle mesh generation using multiple RGB-D cameras
We present a novel 3D reconstruction system that can generate a stable triangle mesh using data from multiple RGB-D sensors in real time for dynamic scenes. The first part of the system uses moving least squar...
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Article
Image-based center of mass estimation of the human body via 3D shape and kinematic structure
This paper presents a method to estimate a time-sequential trajectory of the center of mass (CoM) of an athlete from a multi-view set of cameras. Collecting the CoM typically requires large-scale measuring sys...
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Article
Open AccessRemoving fences from sweep motion videos using global 3D reconstruction and fence-aware light field rendering
Diminishing the appearance of a fence in an image is a challenging research area due to the characteristics of fences (thinness, lack of texture, etc.) and the need for occluded background restoration. In this...
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Chapter and Conference Paper
Volumetric Representation of Semantically Segmented Human Body Parts Using Superquadrics
Superquadrics are one of the ideal shape representations for adapting various kinds of primitive shapes with a single equation. This paper revisits the task of representing a 3D human body with multiple superq...
