Sentences with phrase «image of the object from»

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.
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