Integrating Vision Toolkit

Start developing vision applications on your Mac
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Integrating Vision Toolkit Ranking & Summary

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  • Rating:
  • License:
  • GPL
  • Price:
  • FREE
  • Publisher Name:
  • Pedram Azad
  • Publisher web site:
  • Operating Systems:
  • Mac OS X
  • File Size:
  • 8.1 MB

Integrating Vision Toolkit Tags


Integrating Vision Toolkit Description

Start developing vision applications on your Mac Integrating Vision Toolkit (IVT) is an easy-to-use, platform-independent open source C++ computer vision library with an object-oriented architecture, fully implemented according to the ANSI standard. IVT offers a general camera model and a clean camera interface, as well as many efficient implementations of image processing routines and mathematic data structures and functions. Qt is integrated optionally for GUI purposes.Ease of UseThe IVT implements all functionality within a clean object-oriented architecture with no dependencies. Its intuitive API makes the IVT easy-to-use and easy-to-understand. The source code is not only efficient but also features a good readability, which makes the IVT also a valuable source for educational purposes.Compatibility and PortabilityThe IVT offers a clean camera interface, with many ready-to-use camera modules implementing this interface (PointGrey Dragonfly/BumbleBee, Videre, other DCAM compatible IEEE1394 cameras such as the iSight, USB webcams, etc.) for any common platform (Mac OS X, Windows, Linux). Furthermore, a fully integrated general camera model allows the development of computer vision applications independently from the imaging device. Here are some key features of "Integrating Vision Toolkit": · Undistortion (faster by a factor of 4 compared to cvCalibFilter from the OpenCV) · Combined Rectification/Undistortion (faster by a factor of 8 compared to cvCalibFilter from the OpenCV) · Harris Corner Detector (faster by a factor of 2.5 compared to the OpenCV implementation) · SIFT Features · Calibration: fully integrated single and stereo camera model (compatible with OpenCV calibration) · Many filters, resize, Bayer2RGB, RGB2HSV, SVD, PCA, Linear Least Squares, drawing, ... · POSIT (pose estimation on the basis of 2D-3D point correspondences) · Core function of the ICP (pose estimation on the basis of 3D-3D point correspondences) What's New in This Release: · Missing includes (mainly string.h) have been added so that the code · compiles also with the newest gcc (ggc 4.3.*). · Minor updates and changes.


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