Abstract. The development of research in computer vision in a developing country is a challenging task. Factors such as low research funds, low trust from local companies and governments, and small number of qualified researchers complicates the development of strong, local research groups

for many areas of computer vision research.

The future of our society will be shaped by the young and talented minds going through our colleges and universities today. During the last 14 years roughly 130 undergraduate students from several institutions have participated in our research experiences for undergraduates (REU) program funded

's, computer vision research has been evolving from heuristic design of algorithms to syste...

This paper discusses the challenges in computer systems research posed by the emerging field of pervasive computing. It first examines the relationship of this new field to its predecessors: distributed systems and mobile computing. It then identifies four new research thrusts: effective use

Cloud computing offers the potential to help scientists to process massive number of computing resources often required in machine learning application such as computer vision problems. This proposal would like to show that which benefits can be obtained from cloud in order to help medical image

is illustrated by a rich set of examples. This book is the first monograph on scale-space theory. It is intended as an introduction, reference, and inspiration for researchers, students, and system designers in computer vision as well as related fields such as image processing, photogrammetry, medical image

SciPy is an effective tool suite for prototyping new algorithms. We share some of our experiences using it for the first time to support our research in object detection. SciPy makes it easy to integrate C code, which is essential when algorithms operating on large data sets cannot be vectorized

SciPy is an effective tool suite for prototyping new algorithms. We share some of our experiences us-ing it for the first time to support our research in object detection. SciPy makes it easy to inte-grate C code, which is essential when algorithms operating on large data sets cannot be vectorized

We present an open-source platform-independent C++ framework for machine learning and computer vision research. The framework includes a wide range of standard machine learning and graphical models algorithms as well as reference implementations for many machine learning and computer vision