Apr 1, 2016
Minimum Knowledge of CV and ML
There do exists the minimum knowledge of computer vision and machine learning in order for us to have a basic, fluent, non-embarassing conversation with professionals. There's a broad span of topics in these two fields and we need a bunch of books to cover them all. This blog just walks through the very basic pipeline of the most famous algorithms.
Mar 30, 2016
Scene Classification 101
We implement a classification system to solve the classical problem in computer vision, a final project that is accompanied with the vision course. Old, antique, out of date features are used to salute to classics in old times before the renaissance of deep learning.
Mar 22, 2016
Pedestrian Detection 101 using HOG
We implement a pedestrian detection system to solve the classical problem in computer vision. Out of date features (HOG) are used as the representation features and fed into the SVM training to obtain a detector.
Mar 18, 2016
Optical Flow Estimation
We use the Horn-Schunck method to estimate optical flow in a coarse-to-fine way. Implemented in Python with subtle sparse matrix manipulations.
Feb 20, 2016
Panoramic Mosaic Stitching
We implement a system to combine a series of photographs into a panorama. The software will automatically align the photographs based on their overlap and relative positions and blend the resultant photos into a single seamless panorama.