Examples of using Depth map in English and their translations into Greek
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Computer
Edit Depth maps.
With movies, you have artists who paint the depth map.
A depth map is the key to creation of random-dot autostereograms.
The sequence of the images is grabbed from the Google Streetview API's hidden depth map data.
The 8MP camera creates depth map to blur the background in artistic defocus.
Every pixel in an autostereogram obeys the distance interval specified by the depth map.
A depth map is the key to creation of random-dot autostereograms.[edit] Random-dot.
The program tiles the pattern image horizontally to cover an area whose size is identical to the depth map.
A computer program can take a depth map and an accompanying pattern image to produce an autostereogram.
In this type of autostereogram,every pixel in the image is computed from a pattern strip and a depth map.
From this stack a depth map and an extended focus image are derived and analyzed by Leica Map. .
The brain gives each point in the Cyclopean image a depth value, represented here by a grayscale depth map.
Sony's Time-of-Flight(TOF) system renders a depth map by measuring the time it takes for a light pulse to travel to and of the target surface.
The distance relationship between any pixel andits counterpart in the equivalent pattern to the left can be expressed in a depth map.
Thus, the way the brain perceives depth using binocular vision can be captured by a depth map(Cyclopean image) painted based on coordinate shift.
A depth map is simply a grayscale image which represents the distance between a pixel and its left counterpart using a grayscale value between black and white.
The difference is, instead of simply using the front camera,the Huawei Mate 20 Pro creates a depth map of your face using an IR illuminator, a dot projector and the 24 megapixel camera.
The depth map is crude and could lead to more"temperamental" photography than with the iPhone XS' dual cameras, particularly in situations where there's not enough difference between the foreground and background.
Once you do that, the phone's TrueDepth camera“projects andreads over 30,000 infrared dots to form a depth map of the face, along with a 2D infrared image,” Apple wrote.
This is possible because the grayscale depth map allows individual pixels to be placed on one of 2n depth planes,where n is the number of bits used by each pixel in the depth map.
The TrueDepth camera captures accurate face data by projecting andanalysing over 30,000 invisible dots, to create a depth map of your face and also captures an infrared image of your face.
Using this convention, a grayscale depth map for the example autostereogram can be created with black, gray and white representing shifts of 0 pixels, 10 pixels and 20 pixels, respectively as shown in the greyscale example autostereogram.
A part of the neural architecture of the A11 Bionic Chip- which is protected by the Secure Enclave- converts the depth map and the infrared image into a mathematical representation.
The following depth map of a shark with smooth gradient produces a perfectly readable autostereogram, even though the 2D image contains small monotonic areas; the brain is able to recognize these small gaps and fill in the blanks(illusory contours).
The iPhone's image signal processor uses machine learning techniques to recognize people with one camera, while the second camera creates a depth map to help isolate the subject and blur the background.
Using specialized cameras such as time-of-flight cameras, one can generate a depth map of what is being seen through the camera at a short range, and use this data to approximate a 3d representation of what is being seen.
The iPhone's image sign processor makes use of machine learning methods to identify people with one camera, while the other camera to create a depth map which aids isolate the subject and blur the background.
Using specialized cameras such as time-of-flight cameras, one can generate a depth map of what is being seen through the camera at a short range, and use this data to approximate a 3d representation of what is being seen.
Unlike the simple depth planes created by simple wallpaper autostereograms,subtle changes in spacing specified by the depth map can create the illusion of smooth gradients in distance.
At every pixel in the output image,the program looks up the grayscale value of the equivalent pixel in the depth map image, and uses this value to determine the amount of horizontal shift required for the pixel.