In which direction is the origin of the real-world coordinate system of a raster layer assuming that the origin is atx = 0, y = 0 {x, y = R}? towards top right towards top left towards bottom left towards bottom right
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- Problem Let's suppose that there are three frames overlapping each other at the beginning, namely {A}, {B} and {C}. Then, both frames {B} and {C} are translated by 5 centimeters in x and y axis directions and rotated rotated about z axis by 30 degrees in the counter-clockwise direction with respect to frame {A}. Finally, frame {C} is translated by 10 centimeters in the x axis direction and 20 centimeters in the y axis direction and rotated rotated about z axis by 60 degrees in the clockwise direction with respect to frame {B}. Given coordinates (4,-4) of point P with respect to frame {C}, determine the coordinates of point P with respect to frame {A}. NOTE: ATC= ATB. BTC RoboticPlease help me answer question 1.34 in the attached image. I believe we are to draw the signal. Thank you.Consider a room with world coordinate system U-V-W as shown. Two cameras are mounted in the room, forming a stereo pair. The world coordinate origin is in one corner of the room, with UV-W axes shown. The "Left" camera Cl is located at world coordinates (10,1,3) and it's xl-yl-zl axes are oriented as shown. The "Right" camera Cr is located at world coordinates (7.1,2) and its xr-yr-zr axes are oriented as shown. Both cameras have a focal length of 1. U (1) What is the 3x4 matrix that maps 3D points in world coordinates into 2D points in film plane coordinates (when points are represented as homogeneous coordinates), for the left camera CI? (2) What is the 3x3 essential matrix for the two cameras, treating them as a stereo pair where Cl is the "left camera" and Cr is the "right" camera?
- The typical picture pixel bit depth (bits per pixel) is 24 bits. That means each pixel can have ---------- million different number of colors.Assume that the given image is affected by Gaussian noise, Apply all the mean filters to remove the noise. f(x, y) = 102 103 102 106 106 102 104 104 105 101 102 102 102 104 103 106A standing wave on a 1-m string fixed at both ends is described by: y(x.t) 3D 0.3sin(5Ttx)cos(60rtt), where x and y are in meters and t is in seconds. An element on the string located at x = 0.1 m would have a maximum transverse speed for the third time at: O t-1/40 sec Ot-1/60 sec O t- 1/20 sec O t- 1/24 sec O t=1/30 sec
- Example(9): Given the following 8-bit grayscale image, 100 100 100 100] 110 110 110 110 5 x 4 original image: 100 100 100 100 100 100 100 100 100 100 100 100, Use the Sobel horizontal edge detector to detect horizontal edges.2. Find the 2D discrete Fourier transform of for the given image region in table 1. Table 1: Image region I, J 1, j+1 i+1, j i+2, j i+3, j 143 51 137 60 117 7 18 102 I, J+2 17 18 103 118given me solution in computer science, . A movie was shot in 150 fps. The movie lasted for 30mins. The movie was played in a vertical and horizontal pixel of 720 × 720 respectively. The bit depth for the video was 16 bit. This same video was shot having an audio sampling rate of 44100 Mhz with an audio bit depth of 32bit. The producer of the video decided to test the quality of the audio for the movie with a surround 5.1 channel audio systemi) Calculate the audio file size in bits and explain its effect on the video file.ii) Calculate the file size of the video in Megabytes (Mb) iii) Calculate the bit rate of the video file and explain the effect of the value on processing of the fil
- 2000rn 1. Given sinusoid x (n) = 2 x sin obtained by the 8000 sampling analog signal x (t) = 2 x sin(2000tt) with the sampling rate of fs=80O0HZ a. Use the MATLAB DFT to compute the signal spectrum with the frequency resolution to be equal to or less than 8Hz b.Use the MATLAB FFT and zero padding to compute the signal spectrum, assuming that the data samples are available in (а).For the following 4-bit Grayscale image: 1 2 3 4 7 2 2 1 2 1 2 1 1 1 2 1 1 1 1 Apply the following methods: Sobel Edge Detection Prewitt Edge Detection 2 different Laplacian operators 2 different Sharpen operatorsPlease plot. y = -2pi to 2pi (1) x1 = sin(y)cos(y) (2) x2 = sec(y)sin(y) (3) x3 = sin(y-0.5)*cos(y) in a frame