The purpose of this project was to provide a straightforward implementation of shadow volumes using the depth fail approach. The project is divided into the following sections: After loading an object, detect duplicate vertices. Build the object's edge list while identifying each face associated with an edge. Identify the profile edges from the perspective of …
In this post we will implement the statistical wave model from the equations in Tessendorf's paper[1] on simulating ocean water. We will implement this model using a discrete Fourier transform. In part two we will begin with the same equations but provide a deeper analysis in order to implement our own fast Fourier transform. Using …
In the previous post we discussed lighting and environment mapping, and our evaluation of the lighting contribution was performed in view space. Here we will discuss lighting in tangent space and extend our lighting model to include a normal map. If we apply a texture to a surface, then for every point in the texture …
In this post we will expand on our skybox project by adding an object to our scene for which we will evaluate lighting contributions and environment mapping. We will first make a quick edit to our Wavefront OBJ loader to utilize OpenGL's Vertex Buffer Object. Once we can render an object we will create a …
I realized in my previous posts the use of OpenGL wasn't up to spec. This post will attempt to implement skybox functionality using the more recent specifications. We'll use GLSL to implement a couple simple shaders. We will create an OpenGL program object to which we will bind our vertex and fragment shaders. A Vertex …
This post will examine the Wavefront OBJ file format and present a preliminary loader in C++. We will overlook the format's support for materials and focus purely on the geometry. Once our model has been loaded, an OpenGL Display List will be used to render the model. Below is a rendering of a dragon model …
In my last post we discussed blob extraction and event tracking. We will continue with that project by adding support for two-dimensional fiducial tracking. We will attempt to implement the fiducial detection algorithm used on the Topolo Surface1. We will first describe the fiducials and how their properties are encoded in their structure, and we …
In my previous post we discussed using OpenCV to prepare images for blob detection. We will build upon that foundation by using cvBlobsLib to process our binary images for blobs. A C++ vector object will store our blobs, and the center points and axis-aligned bounding boxes will be computed for each element in this vector. …
In this post I will discuss how you can capture and process images in preparation for blob detection. A future post will discuss the process of detecting and tracking blobs as well as fiducials, but here we are concerned with extracting clean binary images that will be passed to our detector module. We will use …