Learning to see in 3D (DP120101172)

ACVT has been awarded a 3 year ARC Discovery Grant valued at $330,000. The CIs on the project are Prof. Anton van den Hengel and Dr Anthony Dick.

The aim of this project is to collect and analyse a large collection of digital images and their associated depth maps, in order to formulate a method for predicting depth from a single image. This has only recently become feasible due two factors: the availability of sensors for simultaneously collecting appearance and depth data, and advances in data-driven machine learning techniques. The ability to infer depth from appearance has widespread significance for applications of computer vision and image based measurement, including medical imaging, mining, architecture and entertainment, in which the current bottleneck is the difficulty of obtaining 3D information. We will produce a publicly available web service to demonstrate the system.


This entry was posted in 3D Modelling, Machine Learning, Projects, Research and tagged , , , . Bookmark the permalink.

Comments are closed.