Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Pieter Jonker"'
Autor:
Paula Viana, Maria Teresa Andrade, Pedro Carvalho, Luis Vilaça, Inês N. Teixeira, Tiago Costa, Pieter Jonker
Publikováno v:
Journal of Imaging, Vol 8, Iss 3, p 68 (2022)
Applying machine learning (ML), and especially deep learning, to understand visual content is becoming common practice in many application areas. However, little attention has been given to its use within the multimedia creative domain. It is true th
Externí odkaz:
https://doaj.org/article/e2d6297ab8b9498389c5c600a37e6f7f
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2009 (2009)
This paper describes the design of an optical see-through head-mounted display (HMD) system for Augmented Reality (AR). Our goals were to make virtual objects “perfectly” indistinguishable from real objects, wherever the user roams, and to find o
Externí odkaz:
https://doaj.org/article/528c6d19393f4f2c8a080dc7aa8335cc
Publikováno v:
IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 66(1)
In this paper, a fixed-point finite impulse response adaptive filter is proposed using approximate distributed arithmetic (DA) circuits. In this design, the radix-8 Booth algorithm is used to reduce the number of partial products in the DA architectu
Autor:
Luís Vilaça, Pieter Jonker, Maria Teresa Andrade, Vasileios Papanikolaou, José Pedro Pinto, Pedro Carvalho, Inês N. Teixeira, Paula Viana, Tiago Costa
Publikováno v:
ACM Multimedia
Proceedings of the 28th ACM International Conference on Multimedia
Proceedings of the 28th ACM International Conference on Multimedia
Multimedia content production is nowadays widespread due to technological advances, namely supported by smartphones and social media. Although the massive amount of media content brings new opportunities to the industry, it also obfuscates the releva
Publikováno v:
Advanced Robotics, 32(20)
Grasp synthesis for unknown objects is a challenging problem as the algorithms are expected to cope with missing object shape information. This missing information is a function of the vision sensor viewpoint. The majority of the grasp synthesis algo
Publikováno v:
Applied Nursing Research, 30, 154-157. W B Saunders Co-Elsevier Inc
Background: Social robots, with Paro being an example, offer new opportunities for innovative approaches in dementia care.Objectives: To investigate how interventions, with the socially assistive robot Paro, can be implemented in daily care practice.
Publikováno v:
ICARCV
2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, 1791-1798
STARTPAGE=1791;ENDPAGE=1798;TITLE=2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, 1791-1798
STARTPAGE=1791;ENDPAGE=1798;TITLE=2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
High-speed visual servo systems are used in an increasing number of applications. Yet modeling and optimizing these systems remains a research challenge, largely because these systems consist of tightly-coupled design parameters across multiple domai
Publikováno v:
MMSys
Proceedings of the 9th ACM Multimedia Systems Conference (MMSys 2018)
Proceedings of the 9th ACM Multimedia Systems Conference (MMSys 2018)
This paper presents a new identification system for tiny parts that have no space for applying conventional ID marking or tagging. The system marks the parts with a single dot using ink containing shiny particles. The particles in a single dot natura
Publikováno v:
ICMR
This paper presents a fully automated system for detecting, classifying, microscopic imaging, and individually identifying multiple parts without ID-marking or tagging. The system is beneficial for product assemblers, who handle multiple types of par
Publikováno v:
Intelligent Vehicles Symposium
Safe and comfortable path planning in a dynamic urban environment is essential to an autonomous vehicle. This requires the future trajectories of all other road users in the environment of the vehicle. These trajectories are predicted through modelin