IUPR Research Group

About

IUPR research focuses on large scale, practical applications of pattern recognition, image understanding, machine learning, and statistical language modeling. The fundamental techniques we are developing are:

practical learning algorithms that scale to very large problem sizes
automatic parameter selection and validation for pattern recognition systems
problem instance-specific adaptation
validation and benchmarking of systems
massively parallel methods
statistical analysis of text and images

Optical character recognition is an excellent area for studying and evaluating approaches to these problems, as well as a useful application. We are currently building a system called OCRopus, designed for large scale digital library applications. A second application is high quality 3D capture of books and art using low-cost digital cameras as part of project DECAPOD. As part of project SICURA, we are developing object recognition and image database methods and software for security applications.

IUPR is funded through industrial contract research and public research grants.

Teaching

Please see our separate teaching page for a list of courses and course materials.

Thomas Breuel is on sabbatical for the winter semester 2011/12.

Research Projects

	OCRopus Book OCR System High performance document image processing, document analysis, character recognition, and statistical language processing. OCRopus is made possible by the generous support from Google and the TextGrid project.
	DECAPOD 3D Capture, Dewarping, and Archival Conversion of Books and other Historical Objects
	SICURA Large scale object recognition and image database retrieval with applications to security X-ray images.