Insight in Plain Sight
Deconstructing the Homography Matrix
The homography is a core concept in computer vision and multiple view geometry. It describes the mapping between two images that observe the same plane. It might be intimidating to interpret the effects of a matrix with 9 parameters and 8 degrees of freedom at first. But we can decompose the matrix into separate parts, each with less DoF and easier to understand.
First Experiments with Photogrammetry
Recently, I have been thinking a lot about SfM methods (Structure from Motion) and how to apply them into a self-driving car setting. While my research was more focused on deep learning based methods, I became more curious about classical methods, since they require a great deal of maths and geometry. Eventually, I wanted to start a project wherein I reconstruct my own room and somehow put it one my homepage. The viewer would then somehow be able to walk inside my room. At least, this was how I fantasized the end result.
List of Notable Papers
A list of papers in the fields of computer vision, machine learning and general research.
The Bash find Command
A cheat sheet for the most common usages.