SAN
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Herren Nike Air Max 97 OG GS Weiß , July 1 (Xinhua) -- Researchers at
Stanford University in northern California have developed a system using 3
dimensional (3-D) sensing technologies and a computer vision algorithm to
acquire detailed building information.
Newer buildings often have computerized blueprints and records, including
details such as the number of rooms, doors and windows, and the square footage
of floors, ceilings and walls. But such information may not exist for older
buildings, necessitating the time-consuming and difficult task of collecting
these details manually for remodeling or refurbishing purposes.
The new system, presented by Stanford researchers at the Conference on
Computer Vision and Pattern Recognition of the Institute of Electrical and
Electronics Engineers
(IEEE) Sale
Herren Damen Nike Air Max 97 Summit White , which started Sunday and ended
Friday, is designed to automate the process of getting detailed building
information, first by using light to measure every feature of a building' s
interior, room by room and floor by floor, to create a massive data file that
captures the spatial geometry of any building, and then by feeding the raw data
file into a new computer vision algorithm.
The algorithm identifies structural elements such as walls and columns, as
well as
desks Kaufen
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furnishings.
"Renovation projects live and die by the quality of information," according
to Martin Fischer, a Stanford professor of civil and environmental engineering.
The new process is the brainchild of Stanford doctoral student Iro Armeni,
with interdisciplinary oversight from Silvio Savarese, a Stanford assistant
professor in computer science who leads the Computational Vision and Geometry
Lab, and Fischer, who heads the Center for Integrated Facility Engineering.
"People have been trying to do this on a much smaller
scale Nike
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rooms," said Savarese. "This is the first time it's possible to do it at the
scale of whole buildings, with hundreds of rooms."
Armeni, once an architect on the Greek island of Corfu, used to work on
custom renovations on historical buildings hundreds of years old. She and
colleagues used tape measures to redraw building plans, a practice that is both
time-consuming and often inaccurate.
She began by replacing her tape measure with laser scanners and 3-D cameras,
which use light to take measurements with up to millimeter accuracy. When placed
inside a
building Nike
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of light in all directions, bathing every interior surface. By recording
precisely how long it takes for a beam of light to hit a given point in the room
and bounce back, they create a data file consisting of literally millions of
measurements, about specific points where beams of light encountered some
surface. This massive data file is called a raw point cloud.
However, humans had to look at the point cloud on a computer screen to
identify building elements such as windows, walls, hallways and furniture and
then type that information into software tools. To the
computer Damen
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indistinguishable mass of data.
The Stanford team's innovation was developing a computer vision system that
could analyze the point cloud for a building, distinguish the rooms, and then
categorize each element in each room. This automated the second half of the
process, the need for humans to annotate the data. While buildings vary in many
ways, including room size, purpose and interior decoration, this is where
machine learning and computer vision came in.
To train their computer vision
system Herren
Nike Air Max 2018.5 Schwarz Schweiz , the researchers collected a great
amount of 3-D point cloud data that humans had annotated. These annotations
specified all sorts of building features. Armeni managed the task of feeding
this annotated point cloud data to the algorithm.
Through repetition, the system "learned" to recognize different building
elements. Ultimately, the researchers created an algorithm that can analyze raw
point cloud data from an entire building and, without human assistance, identify
the rooms, enter each room, and detail the structural elements and furniture.
"This kind of
geometric nike air
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parts of the project," Savarese was quoted as saying by a news release from
Stanford.
Armeni hopes to move and project forward and create an algorithm that can
track the whole life cycle of a building - through design, construction,
occupation and demolition. "As engineers, we shouldn't lose time trying to find
the current status of our building," she said. "We should invest this time in
doing something creative and making our buildings better."
NEW DELHI, Oct. 25 (Xinhua) -- U.S. Secretary of State RexTillerson arrived
in the Indian capital late Tuesday night for hismaiden official visit to this
country.
Tillerson is slated to call on Indian Prime Minister NarendraModi and also
meet External Affairs Minister Sushma Swaraj duringhis three-day stay.
His visit is part of a five-nation tour that also includes
SaudiArabia nike air
max 98 supreme kaufen , Qatar, Pakistan and Switzerland.
Tillerson arrived in Delhi from Pakistan where he received afrosty welcome
after he recently accused Islamabad of providing"safe havens" to Taliban
militants.
Addressing the Center for Strategic and International Studies inWashington,
he had said the U.S. expected Islamabad to take"decisive action" against
terrorist groups operating in Pakistan.Enditem
KAVRE, Nepal, Oct. 24 (Xinhua) -- Connectivity of China with South Asia under
the Belt and Road Initiative can only make a better Asia, experts said here on
Tuesday.
Addressing a two-day seminar entitled International Conference on South Asia
- China connectivity for Regional Economic Social Development, which was
organized by Kathmandu School of Law
(KSL) nike air
max 97 ultra '17 kaufen , experts stressed on finding the common grounds
and visions for partnership between South
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