A curvature based technique for fast range image registration is described in this work. With this technique the rotation and the displacement of a surface with respect to another one is calculated. The proposed algor...
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A curvature based technique for fast range image registration is described in this work. With this technique the rotation and the displacement of a surface with respect to another one is calculated. The proposed algorithm uses Gaussian curvature information from each image point to extract a number of feature points. Two bounds are applied to the curvature values. Points with these bound curvature value are classified into two classes of feature points. In order to calculate the rotation angle between the two range images, the feature points are paired. That means the angle and the distance of the point pairs have to be transformed into a general view coordinate system. In the orientation matching procedure, we compare each pairing in the first image with each possible in the second one. This process is independent of the translation calculation which is calculated in a sequencing step. This pipelining principle speeds up the registration process if correspondences are calculated constantly.
We numerically study the time evolution of coherent vortices in decaying turbulence described by the Charney-Hasegawa-Mima equation with the weak dissipation. Self-organized coherent vortices develop through the mutua...
We numerically study the time evolution of coherent vortices in decaying turbulence described by the Charney-Hasegawa-Mima equation with the weak dissipation. Self-organized coherent vortices develop through the mutual advection and the vortex merging. The dimensional analysis provides the dynamical scaling law of structure function of the potential vorticity field S(k,t)=E5/4λ1/2t1/2G(k/k¯(t)) [k¯(t)∼E−1/8λ3/4t−1/4] with a scaling function G(x), which turns out to be in good agreement with numerical experiments. In physical space, quantities related to coherent vortices develop algebraically with time. The dimensional analysis predicts that the total number N of vortices decreases as N∼t−χ with exponent χ=1/2. Moreover, it is found that the remarkable feature of this system is the approximate conservation of the area of the coherent region in the potential vorticity field.
In order to attain multichannel blind deconvolution of linear time-invariant nonminimum-phase dynamic systems. Inouye and Habe (see Proc. IEEE Signal Processing Workshop on Higher-Order Statistics, p.96-100, 1995) pro...
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In order to attain multichannel blind deconvolution of linear time-invariant nonminimum-phase dynamic systems. Inouye and Habe (see Proc. IEEE Signal Processing Workshop on Higher-Order Statistics, p.96-100, 1995) proposed 1995 a single-stage maximization criterion. The criterion function is the sum of squared fourth-order cumulants of the equalizer outputs, and the coefficients of the equalizer are determined at once. On the other hand, one of possible approaches for multichannel blind deconvolution is to construct an equalizer based on the system identified by higher-order cumulant-matching. In this paper, it is shown that the single-stage maximization criterion is equivalent to a least-squares fourth-order cumulant-matching criterion after multichannel pre-whitening of channel outputs. This result provides us with an important interpretation of the single-stage maximization criterion.
For very large document collections or high volume streams of documents, finding relevant documents is a major information filtering problem. A major aid to information retrieval systems produces a word frequency meas...
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Functional Hazard Assessment (FHA) is being increasingly recommended (e.g. by the Aerospace Recommended Practice-ARP 4754 [SAE94]) as a means of performing hazard identification. However, many of the available example...
Functional Hazard Assessment (FHA) is being increasingly recommended (e.g. by the Aerospace Recommended Practice-ARP 4754 [SAE94]) as a means of performing hazard identification. However, many of the available example applications of this approach (including that given in ARP 4761 [SAE95]) are illustrated either for aircraft-level functions or sub-system functions with obvious and visible functional effects. Our experience is that it can be difficult to apply FHA for lower level aircraft systems (specifically at the level of the engine controller) where, due to the level of complexity and integration with other systems, the overall effects of functional failure are far from obvious. In this paper, we describe the problems we have encountered when applying FHA and the (partial) solutions we have proposed in order to overcome these problems.
We discuss the pole structure of nD linear systems from a behavioural point of view. We define the notions of irreducible, reducible, manifest and latent poles, which correspond in the classical 1D setting to controll...
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We discuss the pole structure of nD linear systems from a behavioural point of view. We define the notions of irreducible, reducible, manifest and latent poles, which correspond in the classical 1D setting to controllable poles, input decoupling zeros, observable poles and output decoupling zeros. Our definition of poles can be interpreted in terms of kernel representations, and also allows an integral representation of any zero-input trajectory in terms of system poles.
For very large document collections or high volume streams of documents, finding relevant documents is a major information filtering problem. A major aid to information retrieval systems produces a word frequency meas...
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For very large document collections or high volume streams of documents, finding relevant documents is a major information filtering problem. A major aid to information retrieval systems produces a word frequency measure estimated from some important parts of the document using neural network approaches. In this paper a fuzzy logic technique and as its simplified case a neural network algorithm will be proposed for this task. The comparison of these two and an alternative neural network algorithm will also be discussed.
This paper considers the abstract features of human/machine interaction systems that are required for the production of intelligent behaviour. A conceptual architecture is proposed for a subset of intelligent systems ...
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This paper considers the abstract features of human/machine interaction systems that are required for the production of intelligent behaviour. A conceptual architecture is proposed for a subset of intelligent systems called human-centred intelligent systems (HCISs) and it is argued that such systems must be autonomous, robust and adaptive in order to be intelligent. Soft computing is proposed as a promising new technique that can be used to build HCISs, and examples are presented where this is already being done. Finally, flexibility is defined to be a combination of the often-conflicting requirements of robustness and adaptability, and it is argued that the right balance between these two features is necessary to achieve intelligent behaviour.
Research in human/computer interaction has mainly focused on natural language, text, speech and vision primarily in isolation. Recently there have been a number of research projects that have concentrated on the integ...
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Research in human/computer interaction has mainly focused on natural language, text, speech and vision primarily in isolation. Recently there have been a number of research projects that have concentrated on the integration of such modalities using intelligent reasoners. The rationale is that many inherent ambiguities in single modes of communication can be resolved if extra information is available. This paper describes an intelligent multi-modal system called the Smart Work Manager. The main characteristics of the Smart Work Manager are that it can process speech, text, face images, gaze information and simulated gestures rising the mouse as input modalities, and its output is in the form of speech, text or graphics. The main components of the system are the reasoner, a speech system, a vision system, an integration platform and the application interface. The overall architecture of the system will be described together with the integration platform and the components of the system which include a non-intrusive neural network based gaze-tracking system. The paper concludes with a discussion on the applicability of such systems to intelligent human/computer interaction and lessons learnt in terms of reliability and efficiency.
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