Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Lae Kyoung Lee"'
Publikováno v:
Electronics Letters. 54:1030-1032
A simple yet robust reduced-reference quality metric based on local sharpness measure for blurred images in discrete cosine transform (DCT) domain is introduced. As a single feature to represent the quantification of blur in an image, a global image
Publikováno v:
Autonomous Robots. 40:291-324
A typical indoor environment can be divided into three categories; office (or room), hallway, and wide-open space such as lobby and hall. There have been numerous approaches for solving simultaneous localization and mapping (SLAM) problem in office (
Publikováno v:
Robotica. 33:1751-1774
SUMMARYThree-dimensional (3D) data processing has applications in solving complex tasks such as object recognition, environment modeling, and robotic mapping and localization. Because using raw 3D data without preprocessing is very time-consuming, ex
Publikováno v:
IJCNN
In this paper, we focused on designing a semi-rotation invariant feature descriptors for classification problem. We proposed hierarchical Zernike moments architecture which is combination of original Zernike moments, the local receptive field concept
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 18:328-336
In this paper, we propose a robust fingertip extraction and extended Continuously Adaptive Mean Shift (CAMSHIFT) based robust hand gesture recognition for natural human-like HRI (Human-Robot Interaction). Firstly, for efficient and rapid hand detecti
Publikováno v:
Advanced Robotics. 26:437-460
We present a method of simultaneous localization and mapping (SLAM) in a large indoor environment using a Rao-Blackwellized particle filter (RBPF) along with a line segment as a landmark. To represent the environment in a compact form, we use only tw
Publikováno v:
RO-MAN
In this paper, we propose a new ceiling vision-based active mapping and exploration framework for wide-open structural environments such as museum, exhibition center. We adopt the ceiling vision based approach with model-free landmark definition and
Publikováno v:
IROS
Three-dimensional (3D) data processing has recently acquired greater importance in solving complex tasks such as object recognition, environment modeling, and robotic mapping and localization. Since using raw 3D data without preprocessing is very tim
Publikováno v:
IEEE Congress on Evolutionary Computation
This paper presents an efficient approach to solve the problem of real-time robust hand segmentation and fingertip extraction for finger gesture recognition in Human-robot interaction (HRI). Firstly, we propose an improved cascade filtering based han
Publikováno v:
SMC
This article presents an efficient visual landmark extraction and recognition method that can autonomously and rapidly detect visual features such as objects or groups of small objects, and that can be applied to visual object recognition based SLAM