RE: Stereo Imaging in Science and Technology

[P3D Cliff Mugnier <cjmce@xxxxxxxxxxxxxxxx>]

------ =_NextPart_000_01BCB14A.780326E0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: 7bit

Dr, Themelis:

I would recommend you consider some of the following modifications:

* Hyperstereo
- Topographic: aerial photogrammetry & terrestrial photogrammetry
- Industrial:  dimensional control, optical tooling applications, highly convergent (analytical only)
- BioStereometric: anthropometry, X-Ray photogrammetry, impact/crash testing
- Forensic:  reconstruction of catastrophes, explosions, traffic accidents, criminal applications
- Architectural: recording and plotting (3D CAD) of historical buildings, interior & exterior
- Terrestrial: FAA Glidepath obstruction identification (for airports)
     - Study of distant objects: Natural phenomena (clouds, etc.), moon

Clifford J. Mugnier (cjmce@xxxxxxx)
The Topographic Engineering Laboratory
Department of Civil and Environmental Engineering
UNIVERSITY OF NEW ORLEANS
New Orleans, Louisiana  70148 -2212
Voice and Facsimile:   (504) 280-7095


-----Original Message-----
From: P3D 	P3D Dr. George A. Themelis SMTP:fj834@xxxxxxxxxxxxxxxxxxxxx] <>
Sent:	Monday, August 25, 1997 11:04 AM
To:	Multiple recipients of list
Subject:	Stereo Imaging in Science and Technology

This is the title of my stereo slide presentation next Tuesday for the
Cleveland Stereo club.  I would like to get some input from P3D members
familiar with technical applications of 3d.  I am attempting to classify
the images into 4 groups:

* Normal Stereo
     - Documentation: Equipment or processes are documented in stereo 
          for training, education.
     - Remote imaging/control: Stereoscopic imaging in areas 
           inaccessible by humans.
* Hyperstereo
     - Topographical: aerial photogrammetry
     - Study of distant objects: Natural phenomena (clouds, etc.), moon
* Hypostereo
     - close-up (0.2-0.5X): experimental setups, documentation.
     - macro (0.5X-5X): study small objects, rocks, minerals, small 
       details not seen properly by bare eyes.
     - Low power (5X-100X): Stereo microscope, study small objects.
     - High power (>100X): SEM stereo pairs. 
* Other applications
     - Stereoscopic displays:  3D information collected by various (non-
          photographic, usually mapping) methods is presented 
          stereoscopically.
     - Computer modeling: Same as above but information is generated by 
          the computer.  Educational applications.
     - Retinal rivalry:  Stereoscopic imaging is used to detect minor 
          changes in real objects or photographs via retinal rivalry.
     - Stereoscopic imaging of displacements: Horizontal displacement 
          information is converted to depth which allows visualization 
          of displacement fields.

What else?

George Themelis


------ =_NextPart_000_01BCB14A.780326E0
Content-Type: application/ms-tnef
Content-Transfer-Encoding: base64
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=

------ =_NextPart_000_01BCB14A.780326E0--


------------------------------