In the background are
images of objects from Anne \'s adventures.»
Not exact matches
In an article
from Co.create.com, Abigail Posner, Head
of Strategic Planning And Agency Development at Google explains our societal fascination with sharing cat memes and videos: «In the language
of the visual web, when we share a video or an
image, we're not just sharing the
object, we're also sharing in the emotional response it creates.»
The news: Facebook created a data set
of 3.5 billion pictures and 17,000 hashtags pulled
from public Instagram accounts to improve how well it can recognize
objects in
images, the company announced on stage at its annual F8 developer conference today.
What we call the perception
of these latter
objects is in fact an inference we make to them
from images as their representations.
(CNN)- A statue resembling the goddess Athena and jewelry bearing
images from Greco - Roman mythology may not be
objects you'd expect to see in a museum exhibit
of Buddhist art
from Pakistan.
I love the color contrast in this
image, the fact that we're seeing entirely different populations
of objects, and also the simple idea that this is such a strange view
of the Andromeda galaxy, a huge spiral so bright and close it's easily visible to the unaided eye
from a dark site.
Quickly analyzing many
images of stationary
objects taken
from different angles as the spacecraft descends can create a 3 - D rendering
of the ground.
This
image is the sharpest view
of the
object ever taken
from the ground [2].
Because different routes around the massive
object are longer than others, light
from different
images of the same Type Ia event will arrive at different times.
Judging
from images of these far - flung galaxies, they found the Milky Way likely began as faint, blue, low - mass
object containing lots
of gas.
The gravitational pull
of matter in the cluster bends and twists the light
from more distant galaxies, producing a plethora
of strange optical effects ranging
from distorted arcs to multiple
images of the same background
object.
This scenario is one
of many that researchers at Stanford University are imagining for a system that can produce
images of objects hidden
from view.
The group analyzed neuron activity in the monkey's visual cortical area V4 and found that cells in this area integrated information about retinal
image size and the distance
from the
object to calculate the size
of the
object.
A group
of researchers at Osaka University found that neurons in the monkey visual cortical area V4 * 1, one
of the areas in the visual cortex, calculate the size
of an
object based on information on its retinal
image size and the distance
from the
object.
Researchers at the University
of Guadalajara, in Mexico, in collaboration with the University
of the Republic in Uruguay designed a program
of digital processing
of 3D
image from the projection and digitization
of binary data that allows three - dimensional reconstruction
of various
objects in order to reproduce parts
of classic automobiles, prehispanic antiques, as well as serving as a tool for face recognition.
[2] This picture comes
from the ESO Cosmic Gems programme, an outreach initiative to produce
images of interesting, intriguing or visually attractive
objects using ESO telescopes, for the purposes
of education and public outreach.
The Siding Spring Survey uses
images from the Siding Spring observatory in Australia as part
of the global Catalina Sky Survey, an effort to discover and track potentially dangerous near - Earth
objects.
Then they were shown
images of the same
objects, new ones and others that differed slightly
from the original items and asked to categorize them.
For this reason, algorithms are necessary for a computer to calculate a three - dimensional reconstruction
of the
object from the series
of images.
Five
images of Saturn's rings, taken by NASA's Cassini spacecraft between 2009 and 2012, show clouds
of material ejected
from impacts
of small
objects into the rings.
But observations last year hint that the protostar's stellar wind was flowing more quickly
from the
object's poles (relative speeds depicted in bluish ovoid in
image above), and its magnetic field had become aligned with that
of the larger cloud
of gas and dust that surrounds it, the researchers report online today in Science.
Such rules include perspective (parallel lines appear to converge in the distance), stereopsis (our left and right eyes receive horizontally displaced
images of the same
object, resulting in the perception
of depth), occlusion (
objects near us occlude
objects farther away), shading, chiaroscuro (the contrast
of an
object as a function
of the position
of the light source) and sfumato (the feeling
of depth created by the interplay
of in - and out -
of - focus elements in an
image as well as
from the level
of transparency
of the atmosphere itself).
To study the mechanism's fine surface details, they took multiple digital
images each lit
from a different direction, which allowed them to virtually rotate the
object in the light [see interactive
images here and a rotating view
of the main fragment here].
The disturbance visible at the outer edge
of Saturn's A ring in this
image from NASA's Cassini spacecraft could be caused by an
object replaying the birth process
of icy moons.
When we look at an
object, the
images captured by the left and right eyes are slightly different
from each other and when combined they give the brain the perception
of depth.
Computers that can reason about
images may be able to pick out distinct features
of a person, place or
object from photograph archives
The full
image of the
object is later reconstructed
from this encoded data using sophisticated algorithms based on a relatively new technique called compressed sensing.
The researchers will call on their extensive experience with computer vision to match and combine
images of the same area
from several cameras, identify
objects and track
objects and people
from place to place.
The AI has learned the texture and features
of objects like trees and buildings
from a database
of images, and uses this knowledge to cheat.
In fact, when Chris Burrows
of the European Space Agency did a detailed inspection
of the Hubble
images, he located a dim
object that could be the source
of the beams at the predicted location — about one - third light - year
from the center
of the supernova explosion.
By using
images from both Hubble and the NTT we could get a really good view
of these
objects, so we could study them in great detail.»
LSST will even mine data on its own: By scanning
images automatically and comparing them with pictures
of the same region taken earlier, it will recognize the sudden brightening
of a star or an
object in motion
from frame to frame.
The Gemini «speckle» data directly
imaged the system to within about 400 million miles (about 4 AU, approximately equal to the orbit
of Jupiter in our solar system)
of the host star and confirmed that there were no other stellar size
objects orbiting within this radius
from the star.
And Purkinje's
images are the threefold reflections seen in the eye
of another person, caused by an
object reflecting
from the cornea's surface and both sides
of the lens.
During training, a neural net continually readjusts thousands
of internal parameters until it can reliably perform some task, such as identifying
objects in digital
images or translating text
from one language to another.
After the discovery
of 2007 NS2, astronomers found the asteroid in old
images from the LONEOS and LINEAR near - Earth
object surveys dating back to 1998.
There are also two cameras - one which can achieve
image resolutions 10 times greater than that
of even the largest Earth - based telescope, and a second which can detect an
object 50 times fainter than anything visible
from Earth.
You can see
images and descriptions
of the
objects in the Sharpless, Gum and RCW catalogs, as well as an integrated catalog
of 733 hydrogen - alpha nebulae
from many sources that contains useful data for astro - photographers.
Our sample
of 107 YSO candidates was selected based on IRAC colors
from the high spatial resolution, high sensitivity Spitzer / IRAC
images in the Central Molecular Zone (CMZ), which spans th... ▽ More We present results
from our spectroscopic study, using the Infrared Spectrograph (IRS) onboard the Spitzer Space Telescope, designed to identify massive young stellar
objects (YSOs) in the Galactic Center (GC).
The system quickly analyzes many
images of stationary
objects taken
from different angles.
By grabbing 2 - D
images of the same
object from different angles, the technique allows researchers to assemble a 3 - D
image of that
object.
This unprecedented
image of Herbig - Haro
object HH 46/47 combines radio observations acquired with the Atacama Large Millimeter / submillimeter Array (ALMA) with much shorter wavelength visible light observations
from ESO's New Technology Telescope (NTT).
Making an extra effort to
image a faint, gigantic corkscrew traced by fast protons and electrons shot out
from a mysterious microquasar paid off for a pair
of astrophysicists who gained new insights into the beast's inner workings and also resolved a longstanding dispute over the
object's distance.
The chip splits the beam in two, and each
of those beams bombards the
object to be
imaged from a different angle.
The
object stands out as extremely bright inside a large, chemically rich cloud
of material, as shown in this
image from NASA's Spitzer Space Telescope.
For example, the Keck and Gemini telescopes offer high - resolution spectroscopic capabilities that, combined with theoretical analysis and computational modeling, can yield insight into the dynamics, chemical composition, and evolutionary state
of the
objects imaged from space as well as a wealth
of other astronomical phenomena detected
from the ground.
The Wide Field / Planetary Camera (WF / PC1) was used
from April 1990 to November 1993, to obtain high resolution
images of astronomical
objects over a relatively wide field
of view and a broad range
of wavelengths (1150 to 11,000 Angstroms).
The galaxy, EGS - zs8 - 1, was originally identified based on its particular colors in
images from Hubble and Spitzer and is one
of the brightest and most massive
objects in the early universe.
The team showed that Kinect, the optical hardware
from Microsoft, Inc., and
image - recognition algorithms used to identify and track the location and orientation
of objects in its visual field could be adapted to locate and track the motions
of a biopsy needle.
The four
images of the same supernova result
from the way light
from distant
objects is not just magnified but bent by the immense mass
of the galaxy cluster.