Zobrazeno 1 - 10
of 88
pro vyhledávání: '"I-Fan Shen"'
Autor:
Cartier, M.
Publikováno v:
Revue Bibliographique de Sinologie, 1965 Jan 01. 11, 166-166.
Externí odkaz:
https://www.jstor.org/stable/24612092
Publikováno v:
IET Computer Vision, Vol 12, Iss 3, Pp 233-240 (2018)
Action recognition in static image is challenging. The authors propose mutually incoherent pose bases which are implicit poselet co‐occurrences and are learned by dictionary training to describe body pose. Poselets in a pose basis are not constrain
Externí odkaz:
https://doaj.org/article/2549ed8dee0942deb4d09efbf69f259a
Publikováno v:
ICPR
We propose mutually incoherent pose bases for action recognition in static image, each of which implicitly represents co-occurrence of poselets. First of all, action specific poselets are trained. To suppress the ambiguity of detection, we cluster po
Publikováno v:
Conference on Colour in Graphics, Imaging, and Vision. 4:494-498
Publikováno v:
Fifth International Conference on Computer & Information Technology (CIT'05); 2005, p596-602, 7p
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 30:1655010
This paper addresses the problem of action recognition from body pose. Detecting body pose in static image faces great challenges because of pose variability. Our method is based on action-specific hierarchical poselet. We use hierarchical body parts
Publikováno v:
Physics of Fluids. 6:3317-3323
The modulation of linear short waves riding on a long finite‐amplitude solitary wave has been analyzed numerically. It is found that the maximum modulated wave number, frequency, and amplitude of short waves always occur at the crest of solitary wa
Publikováno v:
2010 3rd International Congress on Image and Signal Processing.
Image diffusion is the underlying machine vision research method, and is frequently used to remove image noise. In this paper, we propose a new kernel function for image diffusion by combining the intervening contour (IC) and the color (C) component,
Publikováno v:
2010 2nd International Conference on Computer Engineering and Technology.
Manifold clustering is a widely used techniques in pattern recognition and machine learning. It partition a set of input data into several clusters each of which contains data points from a separate, simple low-dimensional manifold. In order to clust
Autor:
Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Rangan, C. Pandu, Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, De-Shuang Huang, Heutte, Laurent, Loog, Marco, Su Yang, I-Fan Shen
Publikováno v:
Advanced Intelligent Computing Theories & Applications. With Aspects of Theoretical & Methodological Issues; 2007, p930-937, 8p