微表情認識に関する論文を読み、使用するデータセットと微表情の定義をまとめた。
これらの論文は大体、出現時間が短い表情を微表情と定義し、詳細な説明はない。データセット普通はSMIC, CASME II, SAMMを使う。
⚪Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition
·DATA:CASME-II, SMIC, SAMM
·Definition：MEs have a very short duration, local and subtle facial movements.
Typically being no more than 500 ms
卒論の執筆（原理）
卒論執筆中
原理をまとめている
閾値を定める実験の終了
卒論を作成中
This week, I cost 3 days to reviewed all the details of PYTHON3.
And then I cost 2 days to learn the general use of docker, through a set of teaching video. I now understand how to start a project in a docker container, and how to make … Continue Reading ››
卒論執筆中
現在実験結果
先週の進捗
Research:
About making datasets for the training of Vending supermarket, I finished it and update into GitHub(https://mountain.elcs.kyutech.ac.jp/zhou/vending-supermarket-dataset.git). But the problem between the surrounding area of object and background doesn't resolve. I will modify it in the future.
About the using of the datasets on efficientnet, I tried to train on efficientdet, … Continue Reading ››