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NASA Scientific and Technical Aerospace Reports

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20060000069 Gemini Observatory, Hilo, HI, USA<br />

Gemini Focuses on New Kuiper Belt Worlds<br />

Trujillo, Chad; Gemini Focus: Newsletter of the Gemini Observatory; December 2005; In English; See also 20060000060;<br />

Copyright; Avail.: Other Sources<br />

his past year will be remembered as a l<strong>and</strong>mark period in terms of outer solar T system discoveries. The three minor<br />

planets with the greatest absolute magnitudes (<strong>and</strong> if albedo is assumed to be constant among minor planets, the largest<br />

diameters) were found during this period. They are 2003 UB3i3, 2003 EL61, <strong>and</strong> 2005 FYg. Although their names (provisional<br />

designations created by the Minor Planet Center) are somewhat forgettable, their physical properties are not. The largest of<br />

the three, 2003 UB3I3, is the first object larger than Pluto discovered orbiting the Sun since Neptune s discovery in 1846. The<br />

next largest object-2003 EL62-at two-thirds the diameter of Pluto, is no less interesting because it is actually a ternary system.<br />

Its primary is the most rapid large rotator known in the solar system. It spins so fast that it is deformed into an oblate shape<br />

called a triaxial ellipsoid. The third discovery, 2005 FYg, has a likely size somewhere between one-half to two-thirds the<br />

diameter of Pluto. It is unique in its extreme methane ice absorption features. All of these bodies are in the Kuiper Belt, the<br />

region of the solar system beyond Neptune, <strong>and</strong> are referred to as Kuiper Belt Objects (also often called trans-Neptunians, even<br />

though not all of their orbits cross Neptune’s).<br />

Derived from text<br />

Solar System; Gemini Project; Gas Giant Planets; Kuiper Belt<br />

20060001590 European Strategic Programme for Research <strong>and</strong> Development in Information, Brussels, Belgium<br />

Aspects of Directional Filtering <strong>and</strong> Applications in Image Processing<br />

Ikonomopoulos, A.; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing (ICASSP ‘87); Volume 1;<br />

1987, pp. 7.13.1-7.13.4; In English; See also 20060001583; Copyright; Avail.: Other Sources<br />

This paper gives a brief overview of an approach to several problems of image processing based on directional filtering.<br />

Definitions <strong>and</strong> possible implementation routes will be given. Direction filtering allows the extraction from an image of edge<br />

structures within a limited interval of directions. It is shown that a powerful edge detection scheme based on one<br />

implementation of this filtering may lead to very interesting solutions to various problems such as coding, restoration <strong>and</strong><br />

texture discrimination.<br />

Author<br />

Image Processing; Edge Detection<br />

20060001601 Tokyo Univ. of Agriculture <strong>and</strong> Technology, Japan<br />

Measurement of Two-Dimensional Movement of Traffic by Image Processing<br />

Kobatake, Hidefumi; Inoue, Yoshiaki; Namai, Tatsuor; Hamba, Nobuhiro; IEEE International Conference on Acoustics,<br />

Speech, <strong>and</strong> Signal Processing (ICASSP ‘87); Volume 1; 1987, pp. 14.17.1 - 14.17.4; In English; See also 20060001583;<br />

Copyright; Avail.: Other Sources<br />

A software system for measurement of two-dimensional traffic flow using moving picture processing has been developed.<br />

The proposed system is characterized by the functions classifying passing vehicles into one of three classes: motorcycle, small<br />

<strong>and</strong> large-sized vehicles <strong>and</strong> detecting their two-dimensional trajectories on a roadway. Experiments to test the system<br />

performance have been performed <strong>and</strong> all of passing vehicles were detected by the system <strong>and</strong> were classified correctly except<br />

for only one large-sized vehicle.<br />

Author<br />

Two Dimensional Flow; Traffıc; Flow Measurement; Image Processing<br />

20060001621 Nanjing Research Inst. of Electronics Technology, Nanjing, China<br />

A Method of Acquiring 3-D Data of an Object from Stereo Images<br />

Dong, Yu-Ning; He, Zhen-Ya; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing (ICASSP ‘87);<br />

Volume 1; 1987, pp. 7.14.1-7.14.4; In English; See also 20060001583; Copyright; Avail.: Other Sources<br />

A method of acquiring 3-D data of an object via binocular technique is presented in this paper. It attempts to improve the<br />

accuracy of 3-D measurement of the passive technique <strong>and</strong> the main feature of this method are: 1) accurate (subpixel) location<br />

of the noisy image edge segments by parameterization; 2) using generalized cones for 3-D measurement with an accuracy<br />

beyond resolution limit of the digital measurement when using a passive binocular technique.<br />

Author<br />

Image Processing; Binoculars<br />

85

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