I. Create a Matrix
Multiple matrix creation methodsThere are multiple methods to define a matrix variable:
(1) The most common method is to use cvcreatemat ()It consists of two original functions, cvcreatematheader()AndCvcreatedata().
// Create a new rows by Cols matrix of Type 'type'.
Type: Type of the matrix element. the format is CV _ Cvmat * m = cvcreatemat (4,4, cv_32fc1 );Create a 4x4 matrix. When the Data Type of the matrix element is float
settings represented by OpenGL.
(2) write out the setting function of the viewport.
(3) write out the projection transformation setting function.
(4) obtain the 4x4 transformation matrix from the coordinate system W to the camera coordinate system (viewpoint coordinate system.
1. glulookat (0.0, 0.0, 100.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0 );
2. glviewport (100,100,200,200 );
3. gluperspective (60366f, 1.0f, 0.1f, 300366f );
4. The transformation matrix
, the Delta value is reduced in each stage.
Delta = delta * Roughness
The larger the roughness value, the more obvious the terrain is. The smaller the roughness, the smoother the terrain.
Use Perlin Noise to generate a height chartAny terrain algorithms without discussion of noise functions are incomplete. The most important noise function is Perlin Noise. He is almost a modern graphic software package that generates various flame, clouds, strange rocks, as well as the basis for many application
better when the lens is zoomed closer. The following pages will discuss how to draw these textures. Texture
First, you need an elevation chart and know how big your scenario is. Initially I wanted the Texel (texture pixel, texture 1 pixel) of a scene to be 1 meter (3.3 feet ), so the 4096x4096 texture makes the entire scenario 4x4 km big (about 2.5x2. 5 miles ). The scene size remains unchanged when the texture is reduced to 2048 × 2048, And now each
YUV components in the image data is different:
Y0 V0 Y1 U0 Y2 V2 Y3 U2...
The format of uyvy is similar to that of yuy2, but the order of YUV components in image data is different:
U0 y0 V0 Y1 U2 Y2 V2 Y3...
The ayuv format has an alpha channel and extracts YUV components for each pixel. The image data format is as follows:
A0 y0 U0 V0 A1 Y1 U1 V1...
The y41p (and y411) format retains the Y component for each pixel, while the UV component samples every 4 pixels horizontally. A macro
Flip game
Time limit:1000 ms
Memory limit:65536 K
Total submissions:14735
Accepted:6321
Description Flip game is played on a rectangular 4x4 field with two-sided pieces placed on each of its 16 squares. one side of each piece is white and the other one is black and each piece is lying either it's black or white side up. each round you flip 3 to 5 pieces, thus changing the color of their upper side
Ime limit: 1 second memory limit: 32768 KB
Background
Suppose that we have a square city with straight streets. A map of a city is a square board with N rows and n columns, each representing a street or a piece of wall.
A blockhouse is a small castle that has four openings through which to shoot. the four openings are facing north, east, south, and west, respectively. there will be one machine gun shooting through each opening.
Here we assume that a bullet is so powerful that it can run
A famous ICPC team
Time limit:1000 msMemory limit:0 KB64bit Io format:% LLD % LlU
Mr. b, mr. g, mr. m and their coach processors sor s are planning their way to Warsaw for the ACM-ICPC world finals. each of the four has a square-shaped suitcase with side length AI (1 IInput
Each test case contains only one line containing 4 integers AI (1 IOutput
For each test case, display a single line containing the case number and the Minimum side length of the large box REQUIRED.Example
Input: 2 2 2 22 2 2
: [f [N-2], F [n-1], n, 1] * A = [f [n-1], F [N], N +] = [f [n-1], F [n-1] + F [N-2] + n + 1, N +]It is easy to construct the 4x4 matrix A, namely:0 1 0 01 1 0 00 1 1 00 1 1 1
Therefore, [f [1], F [2],] * a ^ (n-1) = [f [N], F [n + 1], n +]
(4) Series F [N] = f [n-1] + F [N-2], f [1] = f [2] = the first n items of 1 and S [N] = f [1] + F [2] + ...... + Fast method for F [N] (high accuracy is not considered ).
Solution:
Considering the matrix of 1x3
each pixel, while the UV component samples every 4 pixels horizontally. A macro pixel is 12 bytes, which actually represents 8 pixels. The YUV component order in the image data is as follows:U0 y0 V0 Y1 U4 Y2 V4 Y3 Y4 Y5 y6 Y8...
In the y211 format, the Y component is sampled every two pixels in the horizontal direction, while the UV component is sampled every four pixels. A macro pixel is 4 bytes, which actually represents 4 pixels. The YUV component order in the image data is as follows:Y0 U0
Method: 1. enumeration (used here)
Ii. Use binary to record subscript (not implemented yet)
Iii. analogy to playing cube games (the idea is Huang Chao, which has not yet been implemented)
Original question link: http://poj.org/problem? Id = 1753
Flip game
Time limit:1000 ms
Memory limit:65536 K
Total submissions:21024
Accepted:9108
DescriptionFlip game is played on a rectangular 4x4 field with two-sided pieces pla
1. If the function func is _ cdecl (the default call method), the call process is as follows:
Int main ()...{// Stack pressure from right to left for parametersPush 4Push 3Push 2Push 1Call funcAdd ESP 0x10 // The caller restores the stack pointer esp. The size of the four parameters is 0x10 (4x4)}2. If the function func is _ stdcall, the calling process is as follows:Int main ()...{// Stack pressure from right to left for parametersPush 4Push 3Push 2P
frame encoding is performed.
Do_encode:
4.Create list0 list1.
X264_reference_build_list (H, H-> fdec-> I _poc, I _slice_type );
Bit Rate Control Initialization
X264_ratecontrol_start (H, I _slice_type, H-> fenc-> I _qpplus1 );
5.Create slice header data
X264_slice_init (H, I _nal_type, I _slice_type, I _global_qp );
6I _frame_size = x264_slices_write (h); this is the key to encoding.
1.X264_slice_header_write ( H-> out. BS, H-> Sh, H-> I _nal_ref_idc );
2.Some initialization work
3.For (mb_x
DescriptionA Boolean matrix has the parity property when each row and each column has an even sum, I. e. contains an even number of BITs which are set. here's a 4x4 matrix which has the parity property:
1 0 1 00 0 0 01 1 1 10 1 0 1
The sums of the rows are 2, 0, 4 and 2. The sums of the columns are 2, 2, 2 and 2.Your job is to write a program that reads in a matrix and checks if it has the parity property. if not, your program shocould check if the pa
with a mixture of similar colors to make it look like you want. (Remember, even so, if you read a pixel in the frame cache, you get the real red and white pixel values because there is no pink color. See Chapter 1 for information on Pixel reading)
Figure 4-3 illustrates some simple black-and-white pixel Jitter to obtain a gray gradient. From left to right, the above 4x4 pattern represents the jitter mode of 50%, 19%, and 69% respectively. In each mod
+ providesImageAndBitmapClass.ImageAndBitmapThe object stores the color of each pixel as 32 bits: red, green, blue, and Alpha each occupy 8 bits. The values of these four components are from 0 to 255. 0 indicates no brightness, and 255 indicates the maximum brightness. The Alpha component specifies the transparency of the color. 0 indicates full transparency, and 255 indicates full opacity.The color vector is in the form of 4 tuples (red, green, blue, and alpha ). For example, a color vector (0
also perform various operations on Object positions here.Convert the view to the global coordinates seen from the observer (player) perspective. First, a camera is mounted at a specified position in the global coordinate system, specifying a watching point and a reference point. The coordinates are converted to the coordinate system in which the camera is taken as the origin, from the origin to the watching point as the Z axis, plus the reference point, the determined plane is the Y-Z plane. Ac
,...... And so on. Therefore, for x16, we only need to perform four product times: x, x 2x2, x 4x4, and x 8x8. If the method described in the Code above is used, the product is multiplied by 15 times.
Now, the question is how to break down an exponent into several Integers to the power of 2, especially when an exponent is not an integer to the power of 2, such as 6. Here we use some features of binary. For example, if the binary value of 6 is 0110,
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