View allAll Photos Tagged Computational
This is made up of a series of phi spirals. The spirals are a little bit crooked becasue I can't figure out how to make them perfectly smooth.
The Vanguard of Computation
This collection of portraits presents the people who are defining the limits and reach of computation
Mike Gordon is Professor of Computer Assisted Reasoning. He is pictured here with the Viper computer that was modelled and analyzed at the Computer Laboratory using higher order logic.
CSESI 2009: Computational Thinking
Computer Science Education Summer Institute 2009
Haverford, PA
June 29 - July 3, 2009
This photo is from June 30, 2009.
The Magic of Computing (PPT)
by Dr. Tom Way, Villanova University
CSTA - Computer Science Teachers Association
NECC National Conference
sponsored by the Int'l Society for Technology in Education (ISTE)
(A conference on using technology in K-12 in all types of classes)
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
computation has effected the design of computers, from the UI to the way we interact with them as designers
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Systems Administrator David Rackley, left, works on the high Performance Computing (HPC) nodes for the Lattice Quantum Chromodynamics (LQCD) project in the Data Center at Jefferson Lab in Newport News, Va., on Monday, March 26, 2024. (Aileen Devlin | Jefferson Lab)
By combining engineering and operations domain expertise and creative integration of advanced hardware and software, JLab delivers advanced computational solutions that address complex data and analytic challenges.
Working in multidisciplinary teams, JLab connects research to engineering to operations, providing the tools necessary to innovate quickly and field results faster.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Dr. Kathleen Carley discusses Social Cyber-Security during the 'Computational Social Science and the Social Cyber World' session.
One Island East Office Tower - Hong Kong, China
HDA : Facade designer
Client : Swire Properties Inc.
Architect: Wong & Ouyang Ltd.
Date : 2003-2008
See more at : www.hda-paris.com/
CSESI 2009: Computational Thinking
Computer Science Education Summer Institute 2009
Haverford, PA
June 29 - July 3, 2009
This photo is from July 1, 2009 with:
"Scratchin' YouTube"
by Dr. Michael Littman, Rutgers University
CSTA - Computer Science Teachers Association
NECC National Conference
sponsored by the Int'l Society for Technology in Education (ISTE)
(A conference on using technology in K-12 in all types of classes)
Computational Design-Architecture-Photography-Art-
urban -panorama-city-abstract colors - light mobile photography-DSLR photography
Work by Rebal Jaber
CSESI 2009: Computational Thinking
Computer Science Education Summer Institute 2009
Haverford, PA
June 29 - July 3, 2009
This photo is from July 1, 2009 with:
A Sneak Peak at Alice 3.0
by Dr. Adelaida Alban Medlock, Drexel University
CSTA - Computer Science Teachers Association
NECC National Conference
sponsored by the Int'l Society for Technology in Education (ISTE)
(A conference on using technology in K-12 in all types of classes)
VASCONCELOS, Wolmer V.. Computational methods in commutative algebra and algebraic geometry. With chapters by David Eisenbud, Daniel R. Grayson, Jürgen Herzog and Michael Stillman. 3 reimpr. Nova York: Springer, 2004. 408 p. (Algorithms and Computation in Mathematics, 2). Inclui bibliografia e índice; Com 11 figuras; 24cm. ISBN 3540213112.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Computational Design-Architecture-Photography-Art-
urban -panorama-city-abstract colors - light mobile photography-DSLR photography
Work by Rebal Jaber
Taïkoo Hui - Tianhe, Guangzhou, Guangdong, China
HDA : Specialist Design consultants
Client : Swire Properties Inc.
Architect: Arquitectonica
Date : 2005 - 2010
See more at : www.hda-paris.com/
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
ACTIVATE 2009: Computational Thinking
CMU - Carnegie Mellon University
Pittsburgh,PA
July 10-13, 2009
This photo is from July 12, 2009.
Taïkoo Hui - Tianhe, Guangzhou, Guangdong, China
HDA : Specialist Design consultants
Client : Swire Properties Inc.
Architect: Arquitectonica
Date : 2005 - 2010
See more at : www.hda-paris.com/
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More of my artwork can be found in my online portfolio
and some prints are available
This abstract diptych consists of the right side of two pictures I took with my point-and-shoot of a white door.
The lines on the right show the curved "barrel distortion" (only slightly exaggerated for illustrative effect in Photoshop) you normally get near the edge of the frame with most zoom lenses at the wide setting (at the tele setting they normally produce some "pincushion distortion"). The straight lines on the left are straight out of the camera. The photo on the left was taken with distortion control set to on.
The distortion control was done, not optically, but by the camera's computer in processing the image. It had the effect of making the lens of my relatively inexpensive point-and-shoot the functional equivalent of a lens costing many times what the entire camera did.
It's a part of something called computational photography that constitutes what might be called the second phase of digital photography, one that is rapidly changing what we can do with our cameras. In the first phase, digital cameras used their computers to render the images produced by electronic sensors in a form that roughly mimicked what film could do. Now the computers in our cameras are adding a host of functions that could never be performed with film, or only performed awkwardly and expensively.
Computational photography is about replacing or supplenting optics with computers. Distortion and perspective control (eliminating slanting lines when a camera is pointed upward) are two examples. Another is automatically compensating for lens flaws that are always present to a greater or lesser degree. Designing a lens is always a matter of trade-offs between various kinds of aberrations and distortions. The better the trade-offs are managed, the more expensive the lens. But now manufacturers can optimize lenses for inexpensive production and correct the results in software, which is much cheaper.
Another example is the High Dynamic Range (HDR) capability that's being built into more and more cameras. By shooting two or more pictures in quick succession and combining them in software, the camera can render pleasing shadow detail without blowing out the highlights.
This is just the beginning. As this article about computational photography in the NYT points out, experimenters are already doing things that seem straight out of science fiction, such as cameras without lenses and cameras that can shoot around corners using lasers.
In other words, a lot of today's equipment will become obsolete as we change our ideas of what digital photography can and should do -- just the way manufacturers like it.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Computational Compost addresses the environmental impact of data storage and proposes a synergy between technology and ecology.
Photo: Courtesy of the artist / Film Still
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Actually, that tall clock tower-looking building is a clock tower -- in fact, it is THE clock tower of the famous UT shootings and many suicides. The Computation Center is a small circley building.
These result images are from the first homework assignment of my Computational Photography class at Columbia University. For each image I applied a number of face detectors to the images and determined the best rotation give the number of faces. I also classified the image as having being individuals or group shots.
Author: Kristin Henry (www.underground-flash.com)
Description: In this piece, I explore the mathematics of a simple fractal with code. The red dots are the key vertices of each generation in the fractal.
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More of my artwork can be found in my online portfolio
and some prints are available