NASA Scientific and Technical Aerospace Reports

translation and a practical range of scale factors, is presented. The basis of this technique is a set of points referred to as critical
points. These points are derived from a structure known as the concavity tree. The concavity tree is a unique representation
for planar shapes. It is shown that the set of critical points derived from the concavity tree, although not unique, will generally
retain enough shape information to distinguish one shape from another. The critical point set is a small subset of the set of
points which form the tree. The procedure requires several projections for any particular object; therefore several sets of
critical points are required for each object. Shapes are compared and identified on the basis of shape (feature) vectors formed
on the critical point sets.
Author
Concavity; Algorithms
20060001716 Tokyo Inst. of Tech., Yokahama, Japan
A Hierarchical Representation of Random Waveforms by Scale-Space Filtering
Sato, Makoto; Wada, Toshikazu; Kawarada, Hiroshi; IEEE International Conference on Acoustics, Speech, and Signal
Processing (ICASSP ‘87); Volume 1; 1987, pp. 7.17.1-7.17.4; In English; See also 20060001583; Copyright; Avail.: Other
Sources
Scale-space filtering is a multiresolution filtering, which is defined as the convolution of a random waveform f(x) with
the Gaussian kernel w(x,q). The set of filtered waveform f(x,q), called generalized waveform of f(x,q), is very useful for the
structural analysis of waveforms. In this paper, we introduce an analytic line, named structure line, on the surface of
generalized waveform f(x,q ). Structure line describes the relation of the convex and concave region of generalized waveform.
Structure line is defined by some derivatives of generalized waveform, and has the same topological structure as a trinary tree.
The properties of structure line are discussed and some examples are shown. It is confirmed that the structure line is effective
to represent waveforms hierarchy.
Author
Image Resolution; Waveforms
20060001731 Strathclyde Univ., Glasgow, UK
Thermal Imaging Techniques for the Non Destructive Inspection of Composite Materials in Real-Time
Durrani, T. S.; Rauf, A.; Boyle, K.; Lotti, P.; Baronti, S.; IEEE International Conference on Acoustics, Speech, and Signal
Processing (ICASSP ‘87); Volume 1; 1987, pp. 14.13.1 - 14.13.4; In English; See also 20060001583; Copyright; Avail.:
Other Sources
A novel approach for real time inspection of composite materials is presented, which utilises image processing techniques
for the characterisation of flaws in composites. The technique is based on transient thermography coupled to the processing
of infrared images obtained by exciting the specimen by a thermal pulse. This paper discusses the image reconstruction theory
used for defect location, associated image processing techniques, the numerical models for solving the propagation of heat
through flawed composites as well as the experimental set-up for testing composites and generating thermal images.
Author
Thermal Mapping; Imaging Techniques; Nondestructive Tests; Composite Materials; Real Time Operation
20060001800 Judge Advocate General’s School, Charlottesville, VA USA
Where’s the Remote Control? It’s Time for Virtual Justice: A Proposal to Amend the Rules of Court-Martial to Allow
for Testimony by Video Teleconference
Harris, Patricia A.; Apr. 1, 2001; 100 pp.; In English
Report No.(s): AD-A440267; No Copyright; Avail.: CASI: A05, Hardcopy
The Sixth Amendment Confrontation Clause has evolved and undergone significant change since its inception in early
Roman history.’ This evolution continues today as a result of technological advances in communications that have improved
our ability to electronically access remote witnesses that were traditionally beyond the court’s jurisdiction. Consequently,
courts today are in a position to enhance an accused’s opportunity to ‘confront’ witnesses against them in criminal trials.
DTIC
Remote Control; Video Conferencing; Video Signals
20060001843 Naval Research Lab., Washington, DC USA
Spectral-Based Volume Sensor Tested Algorithm Development, Test Series VS2
Steinhurst, Daniel A.; Lynch, James A.; Gottuk, Daniel T.; Owrutsky, Jeffrey C.; Nelson, Herbert H.; Rose-Pehrsson, Susan
L.; Williams, Frederick W.; Jan. 12, 2005; 83 pp.; In English; Original contains color illustrations
Report No.(s): AD-A440357; NRL/MR/6110--05-8856; No Copyright; Avail.: Defense Technical Information Center (DTIC)
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