MATLAB 制作抖音同款突出效果海报

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效果如下：
在这里插入图片描述

步骤

1.导入图片，获取每个区域的平均颜色，构造随机数矩阵

导入图片后我们首先将图片划分成很多个15x15(可自行调整大小)的小格子，并求取每个格子的颜色平均值，作为柱状图每个小柱子的颜色，构造随机数矩阵作为每个小柱子的高度

oriPic=imread('test.jpg');
pixLen=15;
[H,W,~]=size(oriPic);XList=1:pixLen:W-pixLen;
YList=1:pixLen:H-pixLen;
samplePic=zeros(length(YList),length(XList),3);
for x=XListfor y=YListsampleSquareR=double(oriPic(y:y-1+pixLen,x:x-1+pixLen,1));sampleSquareG=double(oriPic(y:y-1+pixLen,x:x-1+pixLen,2));sampleSquareB=double(oriPic(y:y-1+pixLen,x:x-1+pixLen,3));samplePic(y==YList,x==XList,1)=mean(sampleSquareR(:));samplePic(y==YList,x==XList,2)=mean(sampleSquareG(:));samplePic(y==YList,x==XList,3)=mean(sampleSquareB(:));end
end
randiMat=randi([0,250],[length(YList),length(XList)]);

原始图片：
在这里插入图片描述
如果用方块颜色矩阵和方块高度矩阵直接去画图的话，会因为每个颜色只有一个点，而出现如下的效果，

为了画出一个一个小平台的效果，我们要将每个点扩充成15X15个颜色相同，高度相同的点集

2.点集扩充，曲面绘制

expCMat=zeros(length(YList)*pixLen,length(XList)*pixLen,3);
expZMat=zeros(length(YList)*pixLen,length(XList)*pixLen);
for x=XListfor y=YListexpCMat(y:y-1+pixLen,x:x-1+pixLen,1)=samplePic(y==YList,x==XList,1);expCMat(y:y-1+pixLen,x:x-1+pixLen,2)=samplePic(y==YList,x==XList,2);expCMat(y:y-1+pixLen,x:x-1+pixLen,3)=samplePic(y==YList,x==XList,3);expZMat(y:y-1+pixLen,x:x-1+pixLen)=randiMat(y==YList,x==XList);end
end
[XMesh,YMesh]=meshgrid(1:length(XList)*pixLen,1:length(YList)*pixLen);
surf(XMesh,expZMat,YMesh(end:-1:1,:),'CData',expCMat./255,...'FaceColor','interp','edgeColor','none',...'SpecularStrength',0,'AmbientStrength',1,'DiffuseStrength',1)

效果：
我们会发现此时每个小方块界限并不明显，而且当正面看时，曲面几乎看不出任何突出效果，这两点可以通过设置前缩透视法，和增添光照来解决
在这里插入图片描述

在这里插入图片描述

3.坐标区属性设置及前缩透视法

以下大部分代码为了调整视角和颜色，ax.Projection=‘perspective’; 用来设置前缩透视

ax=gca;
hold(ax,'on')
ax.Projection='perspective'; 
ax.Color=[0.95 0.95 0.95];
ax.DataAspectRatioMode='manual';
ax.DataAspectRatio=[1,0.1,1];
ax.XLim=[0,W];
ax.ZLim=[0,H];
ax.View=[-0.4830   -0.0717];
ax.XTick=[];
ax.YTick=[];
ax.ZTick=[];
ax.XColor='none';
ax.YColor='none';
ax.ZColor='none';

效果：

4.光照设置

可以根据自己的喜好微调哦

h = light;
h.Style='local';
h.Color=[1,1,1].*0.5;
h.Position=[W/2,-1000,0];

效果：

5.完整代码

function pieceWisePicoriPic=imread('test4.jpg');
pixLen=15;
[H,W,~]=size(oriPic);XList=1:pixLen:W-pixLen;
YList=1:pixLen:H-pixLen;
samplePic=zeros(length(YList),length(XList),3);
for x=XListfor y=YListsampleSquareR=double(oriPic(y:y-1+pixLen,x:x-1+pixLen,1));sampleSquareG=double(oriPic(y:y-1+pixLen,x:x-1+pixLen,2));sampleSquareB=double(oriPic(y:y-1+pixLen,x:x-1+pixLen,3));samplePic(y==YList,x==XList,1)=mean(sampleSquareR(:));samplePic(y==YList,x==XList,2)=mean(sampleSquareG(:));samplePic(y==YList,x==XList,3)=mean(sampleSquareB(:));end
end
randiMat=randi([0,250],[length(YList),length(XList)]);expCMat=zeros(length(YList)*pixLen,length(XList)*pixLen,3);
expZMat=zeros(length(YList)*pixLen,length(XList)*pixLen);
for x=XListfor y=YListexpCMat(y:y-1+pixLen,x:x-1+pixLen,1)=samplePic(y==YList,x==XList,1);expCMat(y:y-1+pixLen,x:x-1+pixLen,2)=samplePic(y==YList,x==XList,2);expCMat(y:y-1+pixLen,x:x-1+pixLen,3)=samplePic(y==YList,x==XList,3);expZMat(y:y-1+pixLen,x:x-1+pixLen)=randiMat(y==YList,x==XList);end
end
[XMesh,YMesh]=meshgrid(1:length(XList)*pixLen,1:length(YList)*pixLen);
surf(XMesh,expZMat,YMesh(end:-1:1,:),'CData',expCMat./255,...'FaceColor','interp','edgeColor','none',...'SpecularStrength',0,'AmbientStrength',1,'DiffuseStrength',1)ax=gca;
hold(ax,'on')
ax.Projection='perspective'; 
ax.Color=[0.95 0.95 0.95];
ax.DataAspectRatioMode='manual';
ax.DataAspectRatio=[1,0.1,1];
ax.XLim=[0,W];
ax.ZLim=[0,H];
ax.View=[-0.4830   -0.0717];
ax.XTick=[];
ax.YTick=[];
ax.ZTick=[];
ax.XColor='none';
ax.YColor='none';
ax.ZColor='none';h = light;
h.Style='local';
h.Color=[1,1,1].*0.5;
h.Position=[W/2,-1000,0];end