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SOFTWARE

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(Downloads: 7700)

FlowLib: A Win32 / Linux x64 library computing dense optical flow in realtime, successor of our package OFLib.

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Paper

(Downloads 14420)

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FlowLib Gui: A Qt gui application (Win32/Linux x64) wrapping our FlowLib. This application was shown at the ICCV09 demo and at NVIDIAs GTC.

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(Downloads 14420)

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TVSeg 0.2.1: Win32 binaries of the application described in the paper. You are free to use this software for non-commercial purposes. A NVidia GeForce 8-series or later graphics device is needed!

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Paper

(Downloads 18753)

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"CUDA Templates" is a collection of C++ template classes and functions which provide a consistent interface to NVidia's "Compute Unified Device Architecture" (CUDA), hiding much of the complexity of the underlying CUDA functions from the programmer.

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(Downloads: 1582)

VMFLib 0.1: A Win32 library for image filtering. Currently implements ROF and TVL1 denoising for 2D grayscale images. The binary library is provided with a sample program showing its usage. You are free to use this software for non-commercial purposes. An Nvidia GeForce 8-series or later graphics device is needed!

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Paper

(Downloads 2212)

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(Downloads: 9777)

OFLib 0.1: A Win32 library computing dense optical flow in realtime. The binary library is provided with a sample program showing its usage. You are free to use this software for non-commercial purposes. A NVidia GeForce 8-series or later graphics device is needed!

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Paper

(Downloads 15387)

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(Downloads: 8818)

A Matlab package for computing dense duality based TV-L1 optical flow. To run the package, just unzip the archive, switch to the unzipped directory in Matlab and type 'run_of'.

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Paper

(Downloads 15387)

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VIDEOS

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(Views: 326)

This video shows the visualization and interaction process for DTM generation of a city dataset. Paper

(Downloads 439)

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(Views: 5584)

Tracking and segmentation of a white cat using solely color features. In the top left corner the original image with current working area (blue) and segmentation (orange) is shown. Top right shows the segmentation cue f. Bottom left shows the segmentation image u. In the right bottom the extracted object is shown with a new background. Paper

(Downloads 12097)

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(Views: 5384)

Tracking of a yellow fish that shows robustnes of the tracker against occlusions. If the working bounding box is blue, the tracker assumes the object is correctly tracked. If it is orange the algorithm assumes the object to be lost and tries to find the object again. Paper

(Downloads 12097)

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(Views: 5397)

Shows the drawbacks of the current implementation as currently only color features are used. If similar colors are found in the background they are learnt as background and do not occure in the segmentation anymore. If similar objects occlude each other, both objects might be tracked. Paper

(Downloads 12097)

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(Views: 765)

This video shows the outcome of this bachelor thesis: A running video game controlled using optical flow only... Paper

(Downloads 1024)

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(Views: 5673)

Interactive Texture Segmentation: Explanation of the proposed method and several segmentation demonstrations. Paper

(Downloads 13006)

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(Views: 8243)

Multiple vertebrae of the cervical spline are tracked separately through a sequence using a different shape for each vertebrae. The intention is to ascertain the movement of the vertebrae towards each other. Paper

(Downloads 16283)

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(Views: 9057)

Computing dense optical flow of onboard vehicle camera images in realtime can give excellent clues on hazardous traffic situations... Paper

(Downloads 14241)

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(Views: 1233)

Demonstration of variational denoising filters on 3D angiography datasets: Artifacts caused by undersampled data acquisition are removed. Paper

(Downloads 2141)

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(Views: 1079)

This video shows the evolution of the disparity map for Middlebury's Teddy data set using the proposed method. The proposed primal dual algorithm takes about 2000 iterations to find the globally optimal solution. Paper

(Downloads 2359)

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video Download

(Views: 8950)

Flowball is an interactive game presented at our Institute's annualy Open Lab Night in October 2008. Using dense optical flow computed in realtime on a Geforce GTX 280, flowball is a demonstration of current capabilities of GPGPU for the interested public.
video Download

(Views: 8469)

Segmentation of a color image using the histogram sampling brushes. The color matching is used as a weak constraint, while the Geodesic Active Contour energy is minimized. (8800 GTX) Paper

(Downloads 18753)

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video Download

(Views: 8430)

This video shows the extraction process of a cat using TVSeg 0.2. First a binary segmentation is obtained using histogram+hard constraint brushes. Then matting is performed and a background image is loaded to show the image composing capabilities. (GTX 280) Paper

(Downloads 18753)

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video Download

(Views: 8502)

Segmentation of a soldier using TVSeg 0.2. The combined color sampling and hard constraint brush is used, to indicate foreground and background. (GTX 280) Paper

(Downloads 18753)

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(Views: 8023)

This video shows the segmentation of a mushroom. No color information is used. The Geodesic Active Countour energy minimization works solely on the edge information. (8800 GTX) Paper

(Downloads 21785)

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(Views: 7999)

Segmentation of a liver CT image in 2D. The GAC energy is minimized. Hard constraints (light red for foreground and blue for background) are incorporated. Additionally edges are deleted, to make the algorithm snap to the correct segmentation border. (8800 GTX) Paper

(Downloads 21785)

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(Views: 8096)

The segmentation result of a very difficult segmentation task in 3D is shown here. The femur bone in a low contrast CT was segmented using the proposed algorithm. (8800 GTX) Paper

(Downloads 21785)

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video Download

(Views: 1223)

Original ROF model compared to the TV-L1 image denoising mode. The TV-L1 model becomes contrast invariant by replacing the L2 norm of the data term, in the ROF model, by a L1 norm. (8800 GTX) Paper

(Downloads 2212)

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video Download

(Views: 3043)

Interactive segmentation and automated position optimization of the shape prior (green contour) makes it possible to segment similar structures with a fixed prior. The user moves the prior to the desired structure and the algorithm optimizes the shape prior position (in this video rotation and scaling parameters are optimized). The segmentation result (red contour) is updated in real time. Paper

(Downloads 7394)

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(Views: 3064)

The automated position optimization can enhance segmentation results for difficult images like the x-ray image from the spine. Therefore a predefined structure can be loaded as shape prior and the algorithm optimizes the shape position for a final segmentation result. Paper

(Downloads 7394)

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video Download

(Views: 8568)

Segmentation of a liver CT image in 2D. The GAC energy is minimized. Hard constraints (light red for foreground and blue for background) are incorporated. Additionally edges are deleted, to make the algorithm snap to the correct segmentation border. (8800 GTX) Paper

(Downloads 16002)

Bibtex
video Download

(Views: 1315)

Range Fusion: Depth maps are generated from several stereo image pairs and combined to a whole model. The video shows a realtime screen capture of the whole reconstruction process running on a single GeForce 8800 GTX. The images show the statue of emperor Karl VI standing in the Austrian national library's Prunksaal. Paper

(Downloads 1357)

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(Views: 9393)

Dense realtime-optical flow using the proposed method. Color encodes the direction of moving pixels, intensity their speed. (8800 GTX) Paper

(Downloads 15387)

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(Views: 9233)

Tracking based on dense realtime-optical flow using the proposed method. Marked pixels are tracked based on optical flow information solely. (8800 GTX) Paper

(Downloads 15387)

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(Views: 9783)

Paper

(Downloads 15935)

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(Views: 9625)

Paper

(Downloads 15935)

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Current overall website statistics: Paper views: 329705, video views: 156457, software downloads: 45751