Project Problem Definition
Help art historians to analyze paintings. Prolific painters may change their style throughout their lifetime. We are going to pick an artist with varied paint styles during his or her lifetime. A good example provided is the Italian artist Tiziano Vecelli (Titian). We are going to process the painterís color scheme to predict the painting age, recognize objects in paintings, analyze the location of faces, etc. We have divided our tasks into the following parts:
- Detect, count and label the people in the painting. Analysis if they are naked or not.
- Training with classified dataset. Then given a test painting, we should recognize it's color scheme and estimate the year of production.
Early Years (1500-1529)
Middle Years (1530-1550) - In 1525 he married Cecilia (who tragically died in 1530). Titianís meeting with the Holy Roman Emperor Charles V in Bologna in 1530 would be a determining event in his life.
Late Years (1550+) - Starting from the late 1550s, Titian developed a much freer use of the brush and a less descriptive representation of reality.
Desired Input and Output
Inputs: Titian's paintings
Example input and output: => Early Year(1500-1529)/ People: 5/ Naked: 1
Related Paper and Algorithms
What we have done so far
We currently have prepared and renamed the dataset we are going to use. We have around 200 paintings from Titian.
We haven't made much significant implementation yet. But we have a great idea of how to start doing the project. We will have a training dataset to calculate percentage of red, blue and green pixels in different classified years. After that, we will process with the test painting dataset, mapping them to the most closing class.