Application for creating 3d objects
- Image processing
Building 3d models by processing raster images with repetitive patterns.
The software interface is used to upload raster images with repetitive patterns. A result of image processing is a three-dimensional model.
The application has 2 modes - default and advanced.
In a default mode, a user can input a contrast raster image. After that, they can use certain tools to configure its dimensions by either cutting or joining repetitive pattern elements which actually are copies of the original image.
Also, the user can set the height of the desired object and a relative height of its convex part. As a result, the internal algorithm generates a 3d model that has a convex pattern which matches dark areas of the input image.
An advanced version of the software has an option to apply tension and compression operations to a resulting model. It will produce additional convex areas of a prespecified form. At the same time model distortion influences the size and form of pattern elements.
- 3d model generation
Model for restoring blurred and pixelated faces in a photo.
Workout helper app
Mobile app for the estimation of proper body positions during the workout.
Car rental price simulation and prediction
The goal of the project is to train models for car rental price prediction in Japan based on the prices and demand for car rental from some Japanese car rental companies and the history of weather data in Japan.