Sentences with phrase «image of objects on»

Simulations are normally made by forming a wireframe image of objects on a computer screen and then filling them in with computer graphics to make them look real.

Not exact matches

There are different ways to perform facial recognition, but generally the accuracy of it depends on factors such as the quality of the image of your face at authentication time, light conditions, time between the enrollment image and verification, and visibility of occluding objects like a scarf or sunglasses.

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.

C. All information, content, services and software displayed on, transmitted through or used in connection with the Company web site, with the exception of User content as defined herein, including for example, news articles, reviews, directories, guides, text, photographs, images, illustrations, audio clips, video, html, source and object code, trademarks, logos, and the like, as well as its selection and arrangement, is owned by Company, except for those items that are copyrighted and / or owned by their respective businesses or individuals.

But he goes on: «When these images clash — as in The Fascist octopus has sung its swan song, the jackboot is thrown into the melting pot — it can be taken as certain that the writer is not seeing a mental image of the objects he is naming; in other words he is not really thinking.»

Books like Priddy's First 100 Words will never go out of fashion in Montessori homes - the clear realistic images on plain backgrounds, of every day objects, is just perfect.

Cuomo, who prides himself on his ability to work with both parties during his first two years in office, has not objected to the use of his image by Republicans that he has not officially endorsed.

Cuomo, who prides himself on his ability to work with both parties during his first two years in office, has not objected to the use of his image by Republicans.

We've been intent on losing the fixed frame of the photograph, enabling the viewer to focus on particular objects or figures that they single out within the depths of the image.»

For the past few years, millions of people have been using location - aware smartphone apps to daub comments, ratings, images and videos on top of places, objects and, to a certain extent, even themselves.

Since there's significant overlap between different hypotheses, an adequate number of samples will generally yield consensus on the correspondences between the objects in any two successive images.

But how on earth do you make an image of such an object?

The algorithm can focus on any part of the three - dimensional data the scope captures and produce images of objects smaller than a micron anywhere in the field.

Wong and his thesis advisors — Leslie Kaelbling, the Panasonic Professor of Computer Science and Engineering, and Tomás Lozano - Pérez, the School of Engineering Professor of Teaching Excellence — considered scenarios in which they had 20 to 30 different images of household objects clustered together on a table.

C3Vision picks that up and applies it to pattern - recognition software, which in turn flips through thousands of other satellite images to cull suspect objects or movements on its own.

Such distortions often create multiple images of the more remote object; the brightness of each image depends on the distribution of mass around the intervening galaxy.

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.

A new infrared image of the Helix Nebula in the constellation Aquarius is shedding light on the enigmatic object's structure.

At that time, the apes had been taught to recognise images of different objects on a screen.

Because his device uses no binocular disparity the viewer isn't forced to attempt such impossible feats of focusing — instead, they can focus naturally on any object in the image, using other cues such as size to «decide» what depth the object occupies.

For example, an instrument on one satellite could block the glare of the sun or a distant star, making it possible for a camera on the other to image faint objects such as the sun's ghostly corona or exoplanets orbiting a star.

Second, it does not just capture sky images; it also gauges the distance to many of the objects — a million galaxies and 100,000 quasars so far — that pass through its field of view, providing a unique three - dimensional perspective on deep space.

This advance could help spur the development of a technique known as inertial imaging, which makes use of several vibration modes to image an object as it sits on a nanomechanical resonator.

The sketches of a pair of shoes or piece of furniture, for example, are drawn directly by hand on a touchscreen and recognized using a sophisticated image retrieval system, where the top 10 retrieval accuracy is close to 100 per cent on some object categories so that it always displays the desired product on the first page.

«It is not only about what is in the center of the image or a bigger object, it's also about coming up with a way of deciding on the importance of specific words.»

In a paper accepted by the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), entitled «Image Captioning with Semantic Attention,» computer science professor Jiebo Luo and his colleagues define semantic attention as «the ability to provide a detailed, coherent description of semantically important objects that are needed exactly when they are needed.»

For the computer vision side, researchers train their systems on a massive dataset of images, so they learn to identify objects in images.

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.

A computer records these initially unremarkable images and as the data is processed further, little by little, the outlines of an object appear on a screen.

Based on high definition 3D lossless digital imaging technology, the Compound Eye imaging system can acquire realistic 3D positional information of objects at both near and far fields, which provides a solution to image distortion caused by conditions such as insufficient light and inadequate resolution.

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.

DSSI works on a principle that utilizes multiple short exposures of an object to capture and remove the noise introduced by atmospheric turbulence producing images with extreme detail.

«We've known since Lashley's classic studies on the mechanisms of vision that rats pay more attention to stimuli presented near the ground, but the field has persisted in presenting vertical 2 - D images or 3 - D objects,» Burwell said.

Consider Griffin's performance on a test Pepperberg devised to see whether the birds could use a mirror image of an object to manipulate it.

Snow, with the University's College of Liberal Arts, and her graduate students, Michael Gomez and Rafal Skiba, recently submitted a paper on the findings of their research study, «Graspable objects grab attention more than images do» which will be published in an upcoming issue of Psychological Science, a top - tier psychology journal.

If an object is far away, the disparity of that image falling on both retinas will be small.

Hard confirmation of P1 and P2 came just last week, on October 24th, when Marc Buie and Eliot Young found the two objects in several images of an HST dataset they and their collaborators had taken for a Pluto mapping project in 2002.

Adaptive optics images made with ARIES at the MMT of 87 Kepler Objects of Interest place limits on the presence of fainter stars in or near the Kepler aperture.

Adaptive optics images made with ARIES at the MMT of 87 Kepler Objects of Interest place limits on the presence of fainter stars in or near the Kepler... ▽ More The Kepler mission has revolutionized our understanding of exoplanets, but some of the planet candidates identified by Kepler may actually be astrophysical false positives or planets whose transit depths are diluted by the presence of another star.

Alien hunters observed a new object in the form of a grizzly bear on a NASA image of Mars.

The bases of the coronal loops appear as white, feathery objects on the right and left of this image.

ALMA sharpens the Event Horizon Telescope's acuity 10-fold, enabling it to spot objects as small as a golf ball on the moon — and thus image the surprisingly small event horizons of the two black holes.

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).

It also provides an opportunity to download models for 3 - D printing as well as to comment and share images of your favorite printed fossil objects on our forum.

Instructions on how to best observe the objects are also given, so all users can take some incredible images of these objects each month.

The distorted image of the distant object can appear in three possible ways depending on the shape of the lens:

ALMA image of SDP.81 (orange arches around the bright object) overlaid on a near - infrared image taken by the NASA / ESA Hubble Space Telescope.

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.

«We, for the first time, can make deep images that resolve objects just 0.02 arcseconds across — this is a very small angle — it is like resolving the width of a dime seen from 100 miles away, or like resolving a convoy of three school busses driving together on the surface of the Moon.»