Understanding furnishing styles from images (EN)

Understanding furnishing styles from images (EN)

11:45 - 12:15 l Alternastage l Pattern Recognition & Deep Learning

RoomAR is a new bleeding edge software product that is targeting retailers and manufacturers in the furniture and home furnishing industry. The software visualizes virtual products in the real world using the RoomAR augmented reality mobile app. The user experience is enriched by personalized product recommendations. With the help of deep learning and computer vision algorithms, the personal interior design style and the actual living situation of users are considered. In this talk we present our approach on how to use machine learning algorithms to understand individual furnishing styles from images. We show how this work is the basis for a new visual recommender system for interior products and outline the first step on the road to a personal digital interior designer.

Christian Nietner, Founder & CTO, RoomAR