Project details for Tuwo

Logo Tuwo 1.0

by nowozin - May 19, 2009, 09:19:41 CET [ Project Homepage BibTeX Download ]

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Description:

C++ Library for tasks frequently encountered in high-level computer vision systems for object recognition and image classification. The library contains the following features

Machine Learning: k-means clustering, nn/soft vector quantization and histograms, mean shift clustering, randomized decision tree ensembles, structured support vector machine training, conditional random field (MAP-MRF inference).

Image Features: adaptive color histograms (CIE LAB, HSV, RGB), canny edge detection, histogram of oriented gradients (HoG), local binary patterns (LBP), local self-similarity (LSS), oriented gradient histograms, semantic texton forests, region covariance, textons.

High-level Image Processing: mean shift segmentation, tree-based segmentation (FH), normalized cut image segmentation, image laplacians: matting laplacian, intervening contours, gradient

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Linux
Data Formats: None
Tags: Computer Vision
Archive: download here

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