Detlev Bieler, Magali und Merle berichten über unser neues Online-Tutorial VISION. VISION (Virtuelle Services für Informationen Online) ist ein Tutorial zum wissenschaftlichen Arbeiten. Es behandelt den Themenbereich der Produktion von Information fü
Imagers based on focal plane arrays (FPA) risk introducing in-band and out-of-band spurious response, or aliasing, due to undersampling. This can make high-level discrimination tasks such as recognition and identification much more difficult. To overcome this problem, three-chip color charge coupled device (CCD) cameras typically offset one CCD by 1/2 pixel with respect to the other two. Analogously, monochrome imagers including infrared can use microscan (or dither) to reduce aliasing. This...
This is a release of a Camera Calibration Toolbox for Matlab® with a complete documentation. This document may also be used as a tutorial on camera calibration since it includes general information about calibration, references and related links.
Despite the dramatic shift toward simplification in software interfaces, the world of development tools continues to shrink our workspace with feature after feature in every release. Even with all of these things at our disposal, we're stuck in a world of files and forced organization - why are we still looking all over the place for the things we need when we're coding? Why is everything just static text?
Bret Victor hinted at the idea that we can do much better than we are now - we can provide instant feedback, we can show you how your changes affect a system.
ClusterViz is a software to visualize the clustering process using the family of k-means algorithms. The program is free software under the GNU General Public License (GPL). ClusterViz allows to cluster data while visualizing an up to three dimensional projection. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.
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CVL is a library for image and data processing using graphics processing units (GPUs).
CVL supports both netpbm images and pfs images and data, e.g. high dynamic range images. It uses OpenGL to process data on the GPU.
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M. Zhang, V. Ciesielski, и P. Andreae. EURASIP Journal on Applied Signal Processing, 2003 (8):
841--859(июля 2003)Special Issue on Genetic and Evolutionary Computation
for Signal Processing and Image Analysis.