in Computer Vision and Machine Learning
in Computer Vision and Machine Learning
Our mission is to deliver open source C++ libraries for numerical computation for the purposes of conducting computer vision and machine learning research. We teach computers to understand the visual world.
About Project X Research
We perform research on mathematically well-founded methods in computer vision and machine learning. The main focus is on techniques using partial differential equations and variational methods. We are interested in all aspects of these techniques, including mathematical modelling, well-posedness analysis, efficient algorithms for sequential and parallel computer architectures, and medical applications.
Natural Gas (Chart 1) has reached a 3-year high (Chart 2) in terms of short positions of commercials. This fact is based on recent Commitment of Traders Report (CoT) and indicates that it is more likely that the price will fall. The observation of the net positions of the commercials also support this conclusion. The net positions of the commercials have […]
DGM library v.1.6.0 has been just released We are glad to present our next big release of DGM, v.1.6.0, which summarizes the v.1.5.x line with further improvements and bug fixes. This is the first cross-platform release: since now on the DGM library is available also for macOS. The binaries built for macOS High Sierra (OS […]
Introduction The Vaihingen-DL dataset contains aerial images of Vaihingen village in Germany, associated with corresponding digital surface models (DSM) and two ground truth images – one for the base and the second – for the occlusion layer. Base layer Occlusion layer class 0 Road class 0 Void class 1 Traffic island (asphalt) class 1 Tree […]
Introduction The EMDS dataset contains environmental microorganism (EM) images downloaded from the Internet, associated with corresponding binary ground truth images. In total there are 21 classes of EMs. Each class is represented with 20 EM images with the corresponding binary ground truth bitmap. In ground truth images, EMs are marked with white (value: 255) and […]
The K-nearest neighbours classifier (KNN) is a type of instance-based learning, or lazy learning, where the function is only approximated locally and all computation is deferred until classification. Thus, the KNN approach is among the simplest of all discriminative approaches, but this classifier is still especially effective for low-dimensional feature spaces. However, the application of […]
There is a wide variety of statistical models which may be applied to the semantic segmentation tasks. Let us now illustrate their impact on the computation of the label maps. For this purpose we use synthetic Green Field data-set, with 3 classes, described by two features. If we quantize all the features by 8 bit, […]
which allows representing raster images via hexagonical picture elements instead of classical quadratic ones: Click here for more details… http://research.project-10.de/hcell/
Project X Hyperlapse Stabilization is a technology that removes annoying shaky motion from videos and creates smooth and stabilized time lapses from image sequences. Video stabilization is an important video enhancement technology which is in great demand in timelapse and hyperlapse photography. We develop a practical and robust approach of video stabilization that produces stabilized […]
Brent oil, gasoline and wheat (SR) have reached a 3-years high in terms of short positions of commercials. This is an extreme and it indicates that it is more likely that the price will fall. This interesting fact is supported by the net positions of the commercials, which have reached a bearish area compare to […]
Platinum has reached a 3-years low in terms of short positions of commercials. This is an extreme and it indicates that it is more likely that the price will rise. This interesting fact is supported by the net positions of the commercials, which have reached a bullish area compare to the last 52 weeks. Counting […]