At first blush, it might seem like projects that make extensive use of computer vision or machine learning would need to be based on powerful computing platforms with plenty of clock cycles and memory ...

Image processing has become a part of our lives. Nobody is surprised by facial recognition or driving lane detection. Today, the most common library for these purposes is OpenCV. Currently, OpenCV is ...

Implementation of some linear algebra operations, mostly notably SVD and Eigen decomposition, are much slower in OpenCV than in Lapack in the case of large matrices (whereas on 3x3 to ~6x6 matrices ...

A subset of functions and algorithms in OpenCV library is accelerated on OpenCL(TM) compatible devices. OpenCL (Open Computing Language) is a Khronos(R) standard for software API, with goal to ...

Abstract: The purpose of this paper is to introduce and quickly make a reader familiar with OpenCV (Open Source Computer Vision) basics without having to go through the lengthy reference manuals and ...

Abstract: This is an introductory textbook for teachers, students, professionals, and hobbyists who want to learn the basics of computer vision. The book is completely based around the OpenCV library, ...

Is anybody [else] using Python (ie Pythonwin 2.2 for Windows)for analysis ? I find this free software incredibly useful for cleaning up "print to file" reports out of legacy mainframe systems before ...