14 posts in this category
Note on Local Feature Descriptors Before the advent of convolutional neural network, many techniques to represent and detect local features has been invented. As lower level feature detector, many of them are strongly mathematically motivated. Some are still used in some Computer Vision tasks as preprocessing step.
Nov 4, 2019
Note on Patch Based Shape Interpretation These are 2 related papers both employ a patch based approach to tackle shape from shading problem. Typically patches have simpler appearance, thus they are easier to collect the statistics on or fit a model on. The spirit is to find a local explanation for patches in an image. However, as there will be ambiguity in local patches, the algorithm should not over-commiting to any one of the explanation and keep the distribution of possible shapes. And then take these local shape proposals and see which can stitch together and make sense globally.
Nov 2, 2019
Note on Computer Vision Lecture Notes from CS559. TOC {:toc} Lec01: Image Formation In principle, digital images are formed by measuring energy (counting photons) over an array. But several pre-processing steps makes it interesting and relevant to processing.
Sep 10, 2019
Note on Network Commnunication TOC {:toc} General Introduction Network connects devices to transfer data / information. LAN and WAN LAN: Localized network, connected machines in the same area. WAN: Wide area, Internet is the largest WAN! The 2 types are less distinct now, they are blurred because of cellular tech and wireless network.
Jul 30, 2019