A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Illustrated Dictionary of Computer Vision
Illustrated Dictionary of Computer Vision
An Introduction to 3D Computer Vision Techniques and Algorithms
An Introduction to 3D Computer Vision Techniques and Algorithms
Circular road signs recognition with soft classifiers
Integrated Computer-Aided Engineering - Artificial Neural Networks
Designing with the Mind in Mind: Simple Guide to Understanding User Interface Design Rules
Designing with the Mind in Mind: Simple Guide to Understanding User Interface Design Rules
Designing Interfaces
One-Class Support Vector Ensembles for Image Segmentation and Classification
Journal of Mathematical Imaging and Vision
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In this paper we present architecture and functionality of the visual multi-tool designed for acquisition of ground-truth and reference data for computer vision experimentation. The multi-tool allows three main functions, namely manual matching of the corresponding points for multi-view correlation, outlining of the image objects with polygons, as well as selection of characteristic points in specific image areas. These functions allows gathering of experimental data which are used for training and/or verification in such computer vision methods as stereo correlation, road signs detection and recognition, as well as color based segmentation. We present overview of the experimental results which were made possible with this multi-tool, as well as we discuss its potential further applications and extensions. The presented software platform was made available on the Internet.