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Assigning a motion to movable parts in 3D scanned objects is important for various applications, such as virtual reality and robotics simulation. We call this problem joint-assignment that requires determining the joint type, position, and orientation. ...

3D scanning has made it possible to generate 3D models from real objects. Although 3D scanning can capture an object’s shape and color texture, it is still technically difficult to analyze and reproduce material properties such as metalness, roughness, ...

This demonstration is invited from ISS 2023 paper track for https://doi.org/10.1145/3626476. Segmenting and determining the 3D bounding boxes of objects of interest in RGB videos is an important task for a variety of applications such as augmented ...

Segmenting and determining the 3D bounding boxes of objects of interest in RGB videos is an important task for a variety of applications such as augmented reality, navigation, and robotics. Supervised machine learning techniques are commonly used for ...

In machine learning, data augmentation is an important technique to artificially increase the amount of training data by generating variations, e.g., geometric and colour transformations. Simple data augmentation such as scaling and rotation is already ...

We present an interactive route viewer system, 3DMovieMap, which generates and shows navigation movies walking through multi-level buildings, such as a science museum, airport, and university building. Movie map systems can provide users with visual cues ...

In this work, we propose a recipe recommendation system for daily eating habits based on user preference and nutrient balance. This method prompts user input and allows for the substitution or addition of ingredients while reflecting the user's ...

Planning a food menu is an essential task in our daily lives. We need to plan a menu by considering various perspectives. To reduce the burden when planning a menu, this study first tackles a novel problem of multimodal dish pairing (MDP), i.e., ...

We propose a method to integrate more interactivity into automatic hyperparameter optimization systems to leverage the user’s prior knowledge on parameter distribution. In our method, the user continuously observes automatic optimization’s progress and ...

We propose two online-learning algorithms for modeling the personal preferences of users of interactive systems. The proposed algorithms leverage user feedback to estimate user behavior and provide personalized adaptive recommendation for supporting ...

People with visual impairments often require mobility assistance of sighted guides but they are not always available. Recent technological strides have opened up new directions for sighted guidance services, assigning guides from a network of remote ...

We present an assistive suitcase system, BBeep, for supporting blind people when walking through crowded environments. BBeep uses pre-emptive sound notifications to help clear a path by alerting both the user and nearby pedestrians about the potential ...

This paper presents CoSummary, an adaptive video fast-forwarding technique for browsing surgical videos recorded by wearable cameras. Current wearable technologies allow us to record complex surgical skills, however, an efficient browsing technique for ...

StratoJump is an installation that allows participants to explore the experience of high altitude jumping toward the edge of space. In this peper, we presents an vision-based algorithm for generating hyperlapse of spherical videos captured in high ...

This work presents a novel user interface applying 3D visualization to understand complex group activities from multiple first-person videos. The proposed interface is designed to assist video viewers to easily understand the collaborative relationships ...

Despite the emphasis of involving users with disabilities in the development of accessible interfaces, user trials come with high costs and effort. Particularly considering the diverse range of abilities such as in the case of low vision, simulating the ...

This work presents the Dynamic Object Scanning (DO-Scanning), a novel interface that helps users browse long and untrimmed first-person videos quickly. The proposed interface offers users a small set of object cues generated automatically tailored to ...

This work presents the Dynamic Object Scanning (DO-Scanning), a novel interface that helps users browse long and untrimmed first-person videos quickly. The proposed interface offers users a small set of object cues generated automatically tailored to ...

This paper presents a novel interface to support video coding of social attention in the assessment of children with autism spectrum disorder. Video-based evaluations of social attention during therapeutic activities allow observers to find target ...

Understanding the intention of other people is a fundamental social skill in human communication. Eye behavior is an important, yet implicit communication cue. In this work, we focus on enabling people to see the users' gaze associated with objects in ...