Marco Caccamo - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Access provided by:

MIT Libraries

Access provided by:

MIT Libraries

ADVANCED SEARCH

Author details

Marco Caccamo

Also published under: M. Caccamo

Publications

126

Citations

3,014

Publications by Year

19972025

Co-Authors:

Fardin Abdi Taghi AbadFardin AbdiL. AbeniOlugbemiga AdekunleBedoor K. AlShebli

Show All Co-Authors (166)

Marco Caccamo

Also published under: M. Caccamo

Affiliation

Technical University of Munich, Munich, Germany

Publication Topics

Deep Reinforcement Learning,
Deep Neural Network,
Neural Network,
Task Scheduling,
Benchmark,
Number Of Processors,
Reward Function,
Task Period,
Testing Schedule,
Deep Learning,
Deep Reinforcement Learning Agent,
Markov Decision Process

Biography

Marco Caccamo is a professor in the Department of Computer Science at UIUC. His research interests include real-time OSs, real-time scheduling and resource management, wireless real-time networks, and quality-of-service control in next-generation digital infrastructures. Caccamo received a PhD in computer engineering from Scuola Superiore Sant'Anna. He is a Senior Member of IEEE. Contact him at caccamom@gmail.com.(Based on document published on 7 September 2016).

Publications

126

Citations

3,014

Publications by Year

19972025

Co-Authors:

Fardin Abdi Taghi Abad
Fardin Abdi
L. Abeni
Olugbemiga Adekunle
Bedoor K. AlShebli

Show All Co-Authors (166)

Author's Published Works

Search History

Showing 1-25 of 66 results

Conferences (59)

Journals (7)

Sort

Filter Results

Show

Subscribed Content

Open Access Only

Range
Single Year
Yasuhiro Ohyama(53)
Hiroshi Hashimoto(33)
Sho Yokota(23)
Jin-Hua She(14)
Akinori Sasaki(13)
Advanced Institute of Industrial Technology, Tokyo, Japan(11)
Tokyo University of Technology, Tokyo, Japan(9)
School of Bionics, Tokyo University of Technology, Tokyo, Japan(8)
School of Computer Science, Tokyo University of Technology, Tokyo, Japan(8)
Setsunan University, Osaka, Japan(7)
2006 SICE-ICASE International Joint Conference(3)
3rd International Conference on Human System Interaction(3)
2007 IEEE International Symposium on Industrial Electronics(2)
2008 IEEE International Symposium on Industrial Electronics(2)
2009 2nd Conference on Human System Interactions(2)
IEEE(66)
Busan, Korea (South)(5)
Taipei, Taiwan(5)
Tokyo, Japan(5)
Rzeszow, Poland(3)
Cambridge, UK(2)
Control System(10)
Optimal Control(9)
Human Motion(8)
3D Printing(7)
Body Motion(7)

Select All on Page

Sort By

Results

Development of a Gesture Analysis System for Human System Interaction

Chifuyu Matsumoto;Yuka Sone;Jinseok Woo;Yasuhiro Ohyama

2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)

Year: 2024 | Conference Paper |

HTML

Recently, Japan has been facing various social issues, and to solve these problems, it is necessary to create a society where diverse people can live comfortably. To build such a society, appropriate support tailored to individuals is required, necessitating the analysis of various types of information to understand the people's needs at any given moment. In particular, analyzing non-verbal elemen...Show More

Development of a Gesture Analysis System for Human System Interaction

Chifuyu Matsumoto;Yuka Sone;Jinseok Woo;Yasuhiro Ohyama

2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)

Year: 2024 | Conference Paper |

Development of a Modular Structured Drone System to Enhance Robotic Functionality

Nur Qurratu Aina Binti Mahadi;Ryota Yoshimura;Jinseok Woo;Yasuhiro Ohyama

2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)

Year: 2024 | Conference Paper |

HTML

Recently, the ongoing labor shortage, driven by a declining birthrate and aging population, necessitates more efficient labor solutions. In this context, drones have garnered significant attention due to their high mobility and efficiency, leading to their expanding use in various business applications. However, the capabilities of a single drone are often limited by constraints such as size, powe...Show More

Development of a Modular Structured Drone System to Enhance Robotic Functionality

Nur Qurratu Aina Binti Mahadi;Ryota Yoshimura;Jinseok Woo;Yasuhiro Ohyama

2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)

Year: 2024 | Conference Paper |

Dual-Task Network Embeddings for Influence Prediction in Social Internet of Things

Feng Wang;Jinhua She;Guojun Wang;Yasuhiro Ohyama;Min Wu

IEEE Internet of Things Journal

Year: 2023 | Volume: 10, Issue: 8 | Journal Article |

Cited by: Papers (3)

HTML

Social Internet of Things (SIoT) is an emerging application area that supports the spread of multimedia information. Detecting critical nodes based on the results of influence prediction is the main solution to maximizing the information propagation in SIoT. However, while the tasks of predicting an influence probability and a cascade size are both critical in influence prediction, there has not y...Show More

Dual-Task Network Embeddings for Influence Prediction in Social Internet of Things

Feng Wang;Jinhua She;Guojun Wang;Yasuhiro Ohyama;Min Wu

IEEE Internet of Things Journal

Year: 2023 | Volume: 10, Issue: 8 | Journal Article |

Suppression of Packet Losses and Disturbances in Networked Control Systems Based on Equivalent-Input-Disturbance Approach

Meiliu Li;Jinhua She;Zhen-Tao Liu;Min Wu;Yasuhiro Ohyama

IEEE Transactions on Cybernetics

Year: 2023 | Volume: 53, Issue: 4 | Journal Article |

Cited by: Papers (10)

HTML

This article presents a method of suppressing packet losses and exogenous disturbances for a networked control system (NCS) subject to network-introduced delays. The NCS has two feedback loops: 1) a local one and 2) a main one. The local feedback loop contains a state observer, an equivalent-input-disturbance (EID) estimator, and state feedback. It is used to ensure prompt disturbance suppression....Show More

Suppression of Packet Losses and Disturbances in Networked Control Systems Based on Equivalent-Input-Disturbance Approach

Meiliu Li;Jinhua She;Zhen-Tao Liu;Min Wu;Yasuhiro Ohyama

IEEE Transactions on Cybernetics

Year: 2023 | Volume: 53, Issue: 4 | Journal Article |

Development of IoT Measurement System Integrated with Robotic Personal Mobility Systems

Jinseok Woo;Taiki Sato;Kyoka Abe;Yasuhiro Ohyama

2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)

Year: 2022 | Conference Paper |

Cited by: Papers (2)

HTML

Mobility is a basic human need and right and should be supported safely and comfortably. In response to this, various types of mobility systems have been developed and used recently. It is a situation that needs to be considered in terms of social safety as well as the increased use of mobility systems. Accidents related to mobility such as a car occur frequently. In particular, concerning the dri...Show More

Development of IoT Measurement System Integrated with Robotic Personal Mobility Systems

Jinseok Woo;Taiki Sato;Kyoka Abe;Yasuhiro Ohyama

2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)

Year: 2022 | Conference Paper |

Development of an Experimental System for Remote Learning

Jinseok Woo;Tatsuya Kurihara;Yasuhiro Ohyama

2021 IEEE 8th International Conference on e-Learning in Industrial Electronics (ICELIE)

Year: 2021 | Conference Paper |

Cited by: Papers (1)

HTML

Recently, many teaching techniques have been adopting not only textual information but also videos, simulations, and real-time discussions for online learning. Unlike the theory and simulation learned in classroom lectures, experiments provide realistic data that includes the effects of the environment. Therefore, experimental classrooms are one of the important elements in learning. Accordingly, ...Show More

Development of an Experimental System for Remote Learning

Jinseok Woo;Tatsuya Kurihara;Yasuhiro Ohyama

2021 IEEE 8th International Conference on e-Learning in Industrial Electronics (ICELIE)

Year: 2021 | Conference Paper |

Development of an Experimental System for Remote Learning

Jinseok Woo;Tatsuya Kurihara;Yasuhiro Ohyama

IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society

Year: 2021 | Conference Paper |

HTML

Recently, many teaching techniques have been adopting not only textual information but also videos, simulations, and real-time discussions for online learning. Unlike the theory and simulation learned in classroom lectures, experiments provide realistic data that includes the effects of the environment. Therefore, experimental classrooms are one of the important elements in learning. Accordingly, ...Show More

Development of an Experimental System for Remote Learning

Jinseok Woo;Tatsuya Kurihara;Yasuhiro Ohyama

IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society

Year: 2021 | Conference Paper |

Design Considerations for Robot Partner System based on Modular Structure

Jinseok Woo;Yasuhiro Ohyama;Naoyuki Kubota

2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)

Year: 2020 | Conference Paper |

HTML

Socially isolated and exposed to lonely situations affect states of health and lifespan. Under these circumstances, the social distance caused by COVID-19 is accelerating people's isolation. Therefore, we should consider how we prepare for the post COVID-19 era. One of the solutions is the introduction of robot partners as community centric system. In this paper, we show the current state about ou...Show More

Design Considerations for Robot Partner System based on Modular Structure

Jinseok Woo;Yasuhiro Ohyama;Naoyuki Kubota

2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)

Year: 2020 | Conference Paper |

Fluidspread: A New Method of Maximizing Positive Influence in Online Social Networks via Fluid Dynamics

Feng Wang;Jinhua She;Yasuhiro Ohyama;Min Wu

2020 IEEE 16th International Conference on Control & Automation (ICCA)

Year: 2020 | Conference Paper |

HTML

Influence maximization aims at detecting the top-k influential users in online social networks. Almost all previous models of influence spread cannot simultaneously incorporate users’ attitudes, interactions between users, and dynamic influences. However, in this study, we established a new model of influence spread via fluid dynamics, which reveals the time-evolving process for influence spread. ...Show More

Fluidspread: A New Method of Maximizing Positive Influence in Online Social Networks via Fluid Dynamics

Feng Wang;Jinhua She;Yasuhiro Ohyama;Min Wu

2020 IEEE 16th International Conference on Control & Automation (ICCA)

Year: 2020 | Conference Paper |

Design and Usage Support System of Robot Partners based on a User-centric Modular Structure

Jinseok Woo;Yuta Abe;Yasuhiro Ohyama;Naoyuki Kubota

2020 International Symposium on Community-centric Systems (CcS)

Year: 2020 | Conference Paper |

Cited by: Papers (2)

HTML

Recently, various robot systems have been developing. And the social necessity of the robot system is gradually emphasized, especially in the service industry have an intention to use the robot system. However, the usage of robots is rarely expanded in the social place. One of the main reasons is the needs of users who actually use the robots are not determined, and it is not easy to design and us...Show More

Design and Usage Support System of Robot Partners based on a User-centric Modular Structure

Jinseok Woo;Yuta Abe;Yasuhiro Ohyama;Naoyuki Kubota

2020 International Symposium on Community-centric Systems (CcS)

Year: 2020 | Conference Paper |

Physical Contact Interaction based on Touch Sensory Information for Robot Partners

Jinseok Woo;Seira Inoue;Yasuhiro Ohyama;Naoyuki Kubota

2020 13th International Conference on Human System Interaction (HSI)

Year: 2020 | Conference Paper |

Cited by: Papers (4)

HTML

In recent years, the number of elderly people over the age of 65 who live alone has increased year by year. In particular, the frequency of conversation for the elderly tends to decrease to less than once in two weeks, and the frequency of going out from home tends also to decrease at a rate of less than once in 2-3 days. As a result, it has led to the social isolation of the elderly, and has caus...Show More

Physical Contact Interaction based on Touch Sensory Information for Robot Partners

Jinseok Woo;Seira Inoue;Yasuhiro Ohyama;Naoyuki Kubota

2020 13th International Conference on Human System Interaction (HSI)

Year: 2020 | Conference Paper |

Deep-Learning-based Identification of Influential Spreaders in Online Social Networks

Feng Wang;Jinhua She;Yasuhiro Ohyama;Min Wu

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society

Year: 2019 | Conference Paper |

Cited by: Papers (6)

HTML

Effective influential spreaders prediction in online social networks is critical for a variety of network services such as viral marketing, online recommendation, and many more. The conventional machine learning methods mainly adopted various hand-crafted features in the prediction models. However, their effectiveness relies on the domain knowledge heavily, and thus it is difficult to generalize t...Show More

Deep-Learning-based Identification of Influential Spreaders in Online Social Networks

Feng Wang;Jinhua She;Yasuhiro Ohyama;Min Wu

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society

Year: 2019 | Volume: 1 | Conference Paper |

Suppression of Disturbances in Networked Control Systems with Time-Varying Delay Based on Equivalent-Input-Disturbance Approach

Meiliu Li;Jinhua She;Zhentao Liu;Chuanke Zhang;Min Wu;Yasuhiro Ohyama;Xinkai Chen

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society

Year: 2019 | Conference Paper |

Cited by: Papers (7)

HTML

A plant is controlled remotely on a network for a networked control system. Disturbances from the network and surroundings may deteriorate the control performance of such a system. To solve this problem, this paper presents a new method of suppressing an exogenous disturbance for those control systems. The control system has a state observer to estimate the state of the plant and an equivalent-inp...Show More

Suppression of Disturbances in Networked Control Systems with Time-Varying Delay Based on Equivalent-Input-Disturbance Approach

Meiliu Li;Jinhua She;Zhentao Liu;Chuanke Zhang;Min Wu;Yasuhiro Ohyama;Xinkai Chen

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society

Year: 2019 | Volume: 1 | Conference Paper |

Suggestion and verification of the modular robot education

Kaoru Mitsuhashi;Yasuhiro Ohyama

2017 11th Asian Control Conference (ASCC)

Year: 2017 | Conference Paper |

Cited by: Papers (1)

HTML

The educational experiments by making a modular robot may be able to work/study all the fields than conventional robot education, because the control program is easy and the assembly of many modules is easy for mechanical, electrical, programming. In this paper, we suggest the modular robot education system. Firstly, we design the educational method/curriculum, and design/create primary modules, g...Show More

Suggestion and verification of the modular robot education

Kaoru Mitsuhashi;Yasuhiro Ohyama

2017 11th Asian Control Conference (ASCC)

Year: 2017 | Conference Paper |

Triaxial movement of modular robot by 3D printing

Kaoru Mitsuhashi;Yasuhiro Ohyama

2017 IEEE/SICE International Symposium on System Integration (SII)

Year: 2017 | Conference Paper |

HTML

The previous research modular robot can move in a planar direction. However, it can't move in a vertical direction, because the empty weight is more than driving force (torque). The vertical and planer (triaxlal) move robot is required in various situations. In this paper, we develop the vertical move function of modular robot using crank mechanism. The climbing force (torque) is calculated to mov...Show More

Triaxial movement of modular robot by 3D printing

Kaoru Mitsuhashi;Yasuhiro Ohyama

2017 IEEE/SICE International Symposium on System Integration (SII)

Year: 2017 | Conference Paper |

Miniaturization and drive evaluation of modular robot by 3D printer

Kaoru Mitsuhashi;Yasuhiro Ohyama;Hiroshi Hashimoto

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society

Year: 2015 | Conference Paper |

Cited by: Papers (3)

HTML

The modular robot is constructed by the same shape and function module. The robot can transform and exchange, because it is multiple modules and function. In previous paper, we manufactured the module by 3D printer, and evaluated the mechanical function of the simple module and modular robot. In this paper, the module is miniaturized and joint parts are improved. Joint parts are used tenon joint i...Show More

Miniaturization and drive evaluation of modular robot by 3D printer

Kaoru Mitsuhashi;Yasuhiro Ohyama;Hiroshi Hashimoto

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society

Year: 2015 | Conference Paper |

Motion curved surface analysis and composite for skill succession using RGBD camera

Kaoru Mitsuhashi;Hiroshi Hashimoto;Yasuhiro Ohyama

2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO)

Year: 2015 | Conference Paper |

HTML

The skill succession method is almost oral. It is not quantitative but qualitative. Quantitative succession is difficult. In this research, after tracking of a subject's motion using RGBD camera, a subject's motion is visualized as the motion curved surface. Expert and beginner perform the sports and entertainment motion, and the character of the surface is analyzed. The character is the maximum c...Show More

Motion curved surface analysis and composite for skill succession using RGBD camera

Kaoru Mitsuhashi;Hiroshi Hashimoto;Yasuhiro Ohyama

2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO)

Year: 2015 | Volume: 02 | Conference Paper |

Suggestion of creating solid method using projective method in 3D real space with microsoft kinect

Kaoru Mitsuhashi;Yasuhiro Ohyama;Hiroshi Hashimoto

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)

Year: 2015 | Conference Paper |

HTML

3D model is normally designed by 3D-CAD software or animation software, but a 3D direct drawing method is still a developing research. In a previous study, we suggest a 3D direct drawing method for polygonal/curved surface model using Microsoft Kinect. In this study, some subjects performe the gesture expressing a solid, analyzed the gesture trajectory. And we construct the creating solid algorith...Show More

Suggestion of creating solid method using projective method in 3D real space with microsoft kinect

Kaoru Mitsuhashi;Yasuhiro Ohyama;Hiroshi Hashimoto

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)

Year: 2015 | Conference Paper |

Production and education of the modular robot made by 3D printer

Kaoru Mitsuhashi;Yasuhiro Ohyama;Hiroshi Hashimoto;Shintaro Ishijima

2015 10th Asian Control Conference (ASCC)

Year: 2015 | Conference Paper |

Cited by: Papers (2)

HTML

The modular robot is constructed by the same shape and function module. It is able to transform and exchange, because it is multiple constitution. However, a mass quantity production of the module is difficult. Then, we focus on 3D printer. It is able to produce on a large scale easily and reasonably, but researchers and engineers need to operate 3D CAD and 3D printer. In this paper, we hold the 3...Show More

Production and education of the modular robot made by 3D printer

Kaoru Mitsuhashi;Yasuhiro Ohyama;Hiroshi Hashimoto;Shintaro Ishijima

2015 10th Asian Control Conference (ASCC)

Year: 2015 | Conference Paper |

The curved surface visualization of the expert behavior for skill transfer using Microsoft Kinect

Kaoru Mitsuhashi;Hiroshi Hashimoto;Yasuhiro Ohyama

2014 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO)

Year: 2014 | Conference Paper |

Cited by: Papers (2)

HTML

Method of teaching and inheriting for skill is almost oral. It is not quantitative but qualitative. Quantitative inheriting of skill is difficult. In this paper, after tracking of a subject's skill motion using Microsoft Kinect, a subject's motion is visualized as the curved surface. A curved surface is fitted in the positions of a subject's joint, or the direction of trajectories. Expert and begi...Show More

The curved surface visualization of the expert behavior for skill transfer using Microsoft Kinect

Kaoru Mitsuhashi;Hiroshi Hashimoto;Yasuhiro Ohyama

2014 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO)

Year: 2014 | Volume: 02 | Conference Paper |

Verification of relationship between heart rate and body movement for fatigue estimation

Jinhua She;Hitoshi Nakamura;Junya Imani;Yasuhiro Ohyama;Hiroshi Hashimoto;Min Wu

2014 12th IEEE International Conference on Industrial Informatics (INDIN)

Year: 2014 | Conference Paper |

Cited by: Papers (2)

HTML

It is an urgent need to find an objective way to estimate the degree of fatigue of employees. In this study, we designed a monitoring and estimation system for the degree of fatigue. This paper explains a long-term pedaling experiment that we use it to explore the possibility to use only the time sequence data of head movement during pealing to estimate the fatigue. While we show the possibility f...Show More

Verification of relationship between heart rate and body movement for fatigue estimation

Jinhua She;Hitoshi Nakamura;Junya Imani;Yasuhiro Ohyama;Hiroshi Hashimoto;Min Wu

2014 12th IEEE International Conference on Industrial Informatics (INDIN)

Year: 2014 | Conference Paper |

Human touch behavior classification to therapy robot using SOM

Koji Makino;Wasantha Samarathunga;Hubais Abdelrahman;Jin-Hua She;Yasuhiro Ohyama;Hiroshi Hashimoto

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

Year: 2013 | Conference Paper |

Cited by: Papers (4)

HTML

In this research, a classification method for human touching behaviors to haptic therapy robot is proposed. It is difficult to apply explicit discrete representation for human touch behaviors such as “slap”, “pat” due to the existence of intermediate touch behavioral patterns. Therefore a new classification approach for human touch behaviors using Self Organizing Map (SOM) is proposed, using its a...Show More

Human touch behavior classification to therapy robot using SOM

Koji Makino;Wasantha Samarathunga;Hubais Abdelrahman;Jin-Hua She;Yasuhiro Ohyama;Hiroshi Hashimoto

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

Year: 2013 | Conference Paper |

Study on common coordinate system by using relative position of other autonomous robot

Koji Makino;Jin-Hua She;Yasuhiro Ohyama

2012 Proceedings of SICE Annual Conference (SICE)

Year: 2012 | Conference Paper |

HTML

It has been proposed a method that the all autonomous mobile robots share a common coordinate system without the communication among them and without recognition of the landmarks or maps. However, the effectiveness of the only directional method is confirmed by analysis and simulations. This paper describes the positional modification method, newly. The effectiveness of is confirmed by the simulat...Show More

Study on common coordinate system by using relative position of other autonomous robot

Koji Makino;Jin-Hua She;Yasuhiro Ohyama

2012 Proceedings of SICE Annual Conference (SICE)

Year: 2012 | Conference Paper |

Hand posture estimation using 3D range data for an evaluation system of human hand manipulation

Akinori Sasaki;Hiroshi Hashimoto;Sho Yokota;Yasuhiro Ohyama;Chiharu Ishii

IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society

Year: 2011 | Conference Paper |

Cited by: Papers (1)

HTML

This paper describes an approach to estimate human hand posture using 3-dimensional range data. The approach employs an approximation of the human hand with a plane in the 3-dimensional space. While this approximation is not so precise for detail reconstruction of the hand shape, it is intended for tracking of the human hand in applications such as virtual reality applications, in which relatively...Show More

Hand posture estimation using 3D range data for an evaluation system of human hand manipulation

Akinori Sasaki;Hiroshi Hashimoto;Sho Yokota;Yasuhiro Ohyama;Chiharu Ishii

IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society

Year: 2011 | Conference Paper |

Buildings recovery employing Manhattan-world constraint

Yasuhiro Ohyama;Joo Kooi Tan;Hyoungseop Kim;Seiji Ishikawa

SICE Annual Conference 2011

Year: 2011 | Conference Paper |

HTML

The structure from Motion (SfM) algorithm is an established method of shape recovery from a single video sequence. However, limitation of the method is the accuracy of the recovery due to poor texture of a recovered plane or a large scale object. We propose a technique for improving the precision of the recovery by applying the Manhattan-world constraint to the SfM algorithm, which assumes that th...Show More

Buildings recovery employing Manhattan-world constraint

Yasuhiro Ohyama;Joo Kooi Tan;Hyoungseop Kim;Seiji Ishikawa

SICE Annual Conference 2011

Year: 2011 | Conference Paper |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.