depth

For a balanced search tree, it is O(log(N)) for all cases. For unbalanced search trees, the worst case is O(N), e.g., insert 1, 2, 3, 4,.. and best case complexity is when it is balanced, e.g., insert 6, 4, 8, 3, 5 7. How do we define the average case complexity for unbalanced search tree? The average height of Binary Trees is Theta(sqrt(n)). This has been shown (or referenced, not very sure) in the following paper: http://www.dtc.umn.edu/~odlyzko/doc/arch/extreme.heights.pdf . But perhaps you are more interested in the average depth of a random node and this is Theta(log n), as can be seen

While working with the kinect I found out, that the bitmap and its depth information are unreliable and for some reason much more disturbed than the data from the actual byte array. I realised this when I tried get the min and max by accessing the bitmap like this for (var y = 0; y < height; y++) { var heightOffset = y * width; for (var x = 0; x < width; x++) { var index = ((width - x - 1) + heightOffset) * 4; var distance = GetDistance(depth[depthIndex], depth[depthIndex + 1]); But on the other hand I achieved much better results when I directly accessed the depth byte array (as a

im playing with openGL and im trying to get rid of blue marked triangles. I use for it this code: glEnable(GL_DEPTH_TEST); glDepthFunc(GL_LESS); glEnable(GL_CULL_FACE); And yes I use glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT); in my main loop. I've read the problem can be projection matrix. I use these values: ProjectionMatrix = glm::perspective(45.5f, 4.0f / 3.0f, 0.1f, 100.0f); I was trying to change the near and far value but its still the same. I was also trying change parameter of glDepthFunc but it also didnt help me. So, any ideas?? Thanks a lot This is perfectly valid behavior

I'm trying to implement an old-school technique where a rendered background image AND preset depth information is used to occlude other objects in the scene. So for instance if you have a picture of a room with some wires hanging from the ceiling in the foreground, these are given a shallow depth value in the depthmap, and when rendered correctly, allows the character to walk "behind" the wires but in front of other objects in the room. So far I've tried creating a depth texture using: glTexImage2D(GL_TEXTURE_2D, 0, GL_DEPTH_COMPONENT, Image.GetWidth(), Image.GetHeight(), 0, GL_DEPTH_COMPONENT

What I'm want to do in OpenGL using C++ and GLSL: When texture has alpha (texture.a! = 1.0;) then this pixel is not written to the depth buffer. (for color buffer it is written) Write depth occurs only when a pixel texture.a == 1.0; Discarding in shader is not a solution - then this pixel is not written to color buffer. Any ideas? @UPDATE: Example: I've got some UI images rendered by OpenGL. Some of them have alpha in corners. In scene rendering I have "depth prepass" to save some pixels by not calculating light on them. I want to also get UI images to that prepass - but only completely opaque

#include<iostream> using namespace std; typedef struct BiNode{ char data; struct BiNode *lchild,*rchild; }BiTNode,*BiTree; void CreateBiTree(BiTree &T){ char ch; cin >> ch; if(ch=='#') T=NULL; else{ T=new BiTNode; T->data=ch; CreateBiTree(T->lchild); CreateBiTree(T->rchild); } } int Depth(BiTree T){ int m,n; if(T==NULL) retue 0; else{ m=Depth(T->lchild); n=Depth(T->rchild); if(m>n) return(m+1); else{ return (n+1); } } } void main(){ BiTree tree; cout<<"please input:\n"; CreateBiTree(tree); cout<<"deepth is:"<<Depth(tree)<<endl; } 来源： https://www.cnblogs.com/ygjzs/p/11874585.html

is there any c++/c open source implementation? i got two point clouds and would like to match them.. any ideas? Give LibICP a shot, although I personally have not used it so far. http://www.cvlibs.net/software/libicp.html EDIT: I tried it by myself, not a great experience -- the library is short of documentation and example code. Also, I didn't receive much help from the authors too. I wrote a article about accelerated line search on ddj.com some time ago. I dont exactly understand what you want to do but the approach shown there divides the whole area into "quadrants" of a given search width.