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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.
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.
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.
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.
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/
There were many more cluster photos, but there's only so much cluster photos one can take before one tires of clusters.
The most complicated patches are from early computers, like the ones used in the Apollo spacecraft, and the others are weaved by amateurs to reproduce that basic technique.
ACTIVATE 2009: Computational Thinking
CMU - Carnegie Mellon University
Pittsburgh,PA
July 10-13, 2009
This photo is from July 12, 2009.
On December 30, Ambassador Heidt and Minister of Education Hang Chuon Naron were on hand for a lecture at RUPP by world-famous scientist and entrepreneur Dr. Stephen Wolfram entitled “The Future of Computation and Knowledge.”
Dr. Wolfram is the founder and CEO of software company Wolfram Research, based in the United States, and the creator of the Wolfram Language, which powers the free “answer engine” Wolfram Alpha. The talk was organized by the Ministry of Education, Youth, and Sports; the U.S. Embassy; the Cambodia Science & Engineering Festival; and the Cambodian Mathematical Society.
[U.S. Embassy photo by Un Yarat]
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.
This is a composite of 20 pictures taken from slightly different positions. By shifting and adding them focusing on specific focal planes is possible. More infos and pics here:
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.
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
Participant teacher presentation - cellular automata.
This photo is from July 13, 2009.
Photos by CMU - www.cs.cmu.edu/activate/photos/comthink/index9.html
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.
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.
On December 30, Ambassador Heidt and Minister of Education Hang Chuon Naron were on hand for a lecture at RUPP by world-famous scientist and entrepreneur Dr. Stephen Wolfram entitled “The Future of Computation and Knowledge.”
Dr. Wolfram is the founder and CEO of software company Wolfram Research, based in the United States, and the creator of the Wolfram Language, which powers the free “answer engine” Wolfram Alpha. The talk was organized by the Ministry of Education, Youth, and Sports; the U.S. Embassy; the Cambodia Science & Engineering Festival; and the Cambodian Mathematical Society.
[U.S. Embassy photo by Un Yarat]
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.
The 17th of May is in the sky.
the 18th is on the top of the mountain.
the 19th is on the left mountain, going all the way to the ground
the 20th is on the ground.
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.
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.
Bleue Capellette
HDA : Consultant
Client : ICADE
Architect: Arquitectonica
Date : 2008
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.
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.
2014 Masters Position In Computational Fluid Dynamics At University Of British Columbia, Canada. Applications are invited for funded masters of Applied Science (M.A.Sc.) position in the field of Mechanical Engineering at University of British Columbia-Okanagan campus. Position is open for Canadian and international candidates. Applicant should have an undergraduate degree in Mechanical or Aerospace Engineering or equivalent. Knowledge of fluid mechanics/aerodynamics, numerical methods and computer programming is essential. - See more at: www.scholarshipsbar.com/2014-masters-position-in-computat...
Ovi Chris Rouly, Ph.D. Candidate,Department of Computational Social Science, George Mason University. Chris’s talk entitled “At The Root Of Sociality: Working Towards Emergent, Permanent, Social Affines"
Abstract: Complexity science often uses generative models to study and explain the emergent behavior of humans, human culture, and human patterns of social organization. In spite of this, little is actually known about how the lowest levels of human social organization came into being. That is, little is actually known about how the earliest members of our hominini tribe transitioned from being presumably small-groups of ape-like polygynous/promiscuous individuals (beginning perhaps with Ardipithecus or Australopithecus after the time of the Pan-Homo split in the late Pliocene to early Pleistocene eras) into family units having stable breeding-bonds, extended families, and clans. What were the causal mechanisms (biological, possibly cognitive, social, and environmental, etc.) that were responsible for the conversion? To confound the issue, it is also possible the conversion process itself was a complex system replete with input sensitivities and path dependencies i.e., a nested complex system. One author has referred to similar processes and their distinctive social arrangements as, “the deep structure of society” (Chapais, 2010). This paper reviews ongoing research attempting to model-then-understand a few of the underlying social, environmental, and biological systems present at the root of human sociality.