Zobrazeno 1 - 10
of 92
pro vyhledávání: '"J.A. Bangham"'
Publikováno v:
Image and Vision Computing. 21:1117-1124
This paper is motivated by the need to develop low bandwidth virtual humans capable of delivering audio-visual speech and sign language at a quality comparable to high bandwidth video. Using an appearance model combined with parameter compression sig
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 24:198-213
The multimodal nature of speech is often ignored in human-computer interaction, but lip deformations and other body motion, such as those of the head, convey additional information. We integrate speech cues from many sources and this improves intelli
Autor:
S. Marshall, J.A. Bangham
Publikováno v:
Electronics & Communication Engineering Journal. 10:117-128
Mathematical morphology is the analysis of signals and images in terms of shape. Much is based on simple positive Boolean functions that are used to produce filters for binary and greyscale signals and images. In a previous development, the standard
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 18:529-539
Sieves decompose one dimensional bounded functions (d/sub m/)/sub m=1//sup R/ that represent the information in a manner that is analogous to the pyramid of wavelets obtained by linear decomposition. Sieves based on sequences of increasing scale open
Autor:
J.A. Bangham, Binhai Wang
Publikováno v:
2006 International Conference on Computational Intelligence and Security.
Signal decomposition is usually used as a preprocessing step in signal processing. After decomposing an original signal, we can process each decomposed bases individually. Different decomposition methods result in different bases. Less number of base
Autor:
J.A. Bangham, T.G. Campbell
Publikováno v:
IEEE Winter Workshop on Nonlinear Digital Signal Processing.
In this paper a scalelposition decomposition that is an alternative to wavelets is described. The nonlinear decomposition, called the datasieve, is appropriate for isolating and locating the position of objects with sharp edges arising from nonlinear
Autor:
R.V. Aldridge, J.A. Bangham
Publikováno v:
IEEE Winter Workshop on Nonlinear Digital Signal Processing.
The small differences between the output from cascades of multiscale median and morphological filters (datasieves) is explored. It is shown that the self dual nature median filters confers statistical verity and that open/close (close/open) filters h
Publikováno v:
Conference Proceedings on Engineering in the Ocean Environment.
This paper discusses the use of statistical filtering techniques in sidescan sonar image processing. A brief review of the objectives in processing sidescan data is given.The median root median methods for filtering are rejected in favour of a novel
Publikováno v:
ICASSP (5)
We present work towards videorealistic synthetic visual speech using non-rigid appearance models. These models are used to track a talking face enunciating a set of training sentences. The resultant parameter trajectories are used in a concatenative
Publikováno v:
ICIP (1)
The method known as SSD, sum of squared difference, is a popular and moderately robust method for dense stereo matching, but it has several known limitations. Various refinements have been proposed, including actively changing the window shape during